Kunal Punera is seeking a full-time position in research labs working on web/data mining, information retrieval, and machine learning. He has a Ph.D. in computer engineering from UT Austin with a focus on these areas. His research interests include web data analysis, data mining, machine learning, and information retrieval. He has published numerous papers in top conferences and journals and has worked with Yahoo! and IBM on related research projects.
This document discusses fuzzy clustering techniques for web mining. It proposes a fuzzy hierarchical clustering method to create clusters of web documents using fuzzy equivalence relations. The method aims to improve information retrieval by grouping similar documents into clusters. It describes how fuzzy clustering is suitable for web mining given the fuzzy nature of the web. It also provides background on related topics like web mining taxonomy, document clustering algorithms, and challenges of information retrieval on the web.
This document is a curriculum vitae for Dr. B. Kalpana, a professor of computer science. It provides details about her education, teaching experience, areas of research interest including data mining and mobile computing, publications, projects supervised, and professional affiliations. She has over 20 years of teaching experience and has guided several PhD and MPhil students. She has published papers in international conferences and journals and has received best paper awards.
This document provides a summary of an experienced educator seeking a challenging position utilizing over 32 years of experience in education administration and management. The educator holds a bachelor's degree in electronics and telecommunication engineering and has worked in various roles including principal, vice principal, and head of departments. Areas of expertise include leadership, management, teaching, and coordinating accreditation. The educator has international journal publications, guided PhD scholars, and is currently supervising research scholars. The objective is to find a dynamic position to apply skills and experience.
WEB MINING: PATTERN DISCOVERY ON THE WORLD WIDE WEB - 2011Mustafa TURAN
Web Mining: Pattern Discovery on the World Wide Web
The study covers auto Turkish text content gathering from most popular social media platforms (twitter, facebook, blogs, news, etc...) and auto classifying sentimentally those contents.
This document summarizes a book and 28 journal articles and conference papers authored or co-authored by C.G. Dethe. It includes the following key information:
- A book on performance evaluation of intelligent WLAN systems in multipath fading environments.
- 28 journal articles published in various international journals between 2009-2012 related to topics like UWB antenna design, resource allocation in MC-CDMA, medical image analysis, and video processing.
- 22 papers presented at international conferences between 2003-2013 on similar topics as the journal articles.
- 7 papers presented at national conferences in India between 2009-2014 related to wireless sensor networks, network traffic analysis, and intelligent transportation systems.
This document contains summaries and excerpts from multiple sources discussing the relationship between technology, memory, and cognition. It addresses how critical thinking is intertwined with factual knowledge stored in long-term memory, how people are more likely to remember where to find information online rather than retain details, and how cognitive performance naturally declines with increased age even among younger adults.
Advancing Science through Coordinated CyberinfrastructureDaniel S. Katz
How local, regional, and national cyberinfrastructure can be coordinated and linked to advance science and engineering, based on experiences and lessons from the Center for Computation & Technology at LSU (ideas, funding, implementation), plus some thoughts on what might be done differently if we were starting today. Presented at First Workshop - Center for Computational Engineering & Sciences, Unicamp, Campinas, Brazil 10 APR 2014
This document contains the resume of Rajendra Prasath, who holds a Ph.D in Mathematics from the University of Madras. He is currently a postdoctoral fellow at NTNU in Norway. His areas of research include textual case-based reasoning, machine learning, and complex networks. He has published papers in various international journals and conferences and has worked on projects related to information retrieval, text categorization, and distributed algorithms.
This document discusses fuzzy clustering techniques for web mining. It proposes a fuzzy hierarchical clustering method to create clusters of web documents using fuzzy equivalence relations. The method aims to improve information retrieval by grouping similar documents into clusters. It describes how fuzzy clustering is suitable for web mining given the fuzzy nature of the web. It also provides background on related topics like web mining taxonomy, document clustering algorithms, and challenges of information retrieval on the web.
This document is a curriculum vitae for Dr. B. Kalpana, a professor of computer science. It provides details about her education, teaching experience, areas of research interest including data mining and mobile computing, publications, projects supervised, and professional affiliations. She has over 20 years of teaching experience and has guided several PhD and MPhil students. She has published papers in international conferences and journals and has received best paper awards.
This document provides a summary of an experienced educator seeking a challenging position utilizing over 32 years of experience in education administration and management. The educator holds a bachelor's degree in electronics and telecommunication engineering and has worked in various roles including principal, vice principal, and head of departments. Areas of expertise include leadership, management, teaching, and coordinating accreditation. The educator has international journal publications, guided PhD scholars, and is currently supervising research scholars. The objective is to find a dynamic position to apply skills and experience.
WEB MINING: PATTERN DISCOVERY ON THE WORLD WIDE WEB - 2011Mustafa TURAN
Web Mining: Pattern Discovery on the World Wide Web
The study covers auto Turkish text content gathering from most popular social media platforms (twitter, facebook, blogs, news, etc...) and auto classifying sentimentally those contents.
This document summarizes a book and 28 journal articles and conference papers authored or co-authored by C.G. Dethe. It includes the following key information:
- A book on performance evaluation of intelligent WLAN systems in multipath fading environments.
- 28 journal articles published in various international journals between 2009-2012 related to topics like UWB antenna design, resource allocation in MC-CDMA, medical image analysis, and video processing.
- 22 papers presented at international conferences between 2003-2013 on similar topics as the journal articles.
- 7 papers presented at national conferences in India between 2009-2014 related to wireless sensor networks, network traffic analysis, and intelligent transportation systems.
This document contains summaries and excerpts from multiple sources discussing the relationship between technology, memory, and cognition. It addresses how critical thinking is intertwined with factual knowledge stored in long-term memory, how people are more likely to remember where to find information online rather than retain details, and how cognitive performance naturally declines with increased age even among younger adults.
Advancing Science through Coordinated CyberinfrastructureDaniel S. Katz
How local, regional, and national cyberinfrastructure can be coordinated and linked to advance science and engineering, based on experiences and lessons from the Center for Computation & Technology at LSU (ideas, funding, implementation), plus some thoughts on what might be done differently if we were starting today. Presented at First Workshop - Center for Computational Engineering & Sciences, Unicamp, Campinas, Brazil 10 APR 2014
This document contains the resume of Rajendra Prasath, who holds a Ph.D in Mathematics from the University of Madras. He is currently a postdoctoral fellow at NTNU in Norway. His areas of research include textual case-based reasoning, machine learning, and complex networks. He has published papers in various international journals and conferences and has worked on projects related to information retrieval, text categorization, and distributed algorithms.
The document proposes using multi-agent systems to automatically construct personalized educational plans for students using resources from digital libraries. Course assembly agents will select and schedule resources based on student models and optimize plans using machine learning. Evaluation agents will monitor student progress and refine plans as needed. Ontology agents will extract prerequisite and learning outcome information to generate planning rules from resource descriptions. The system aims to improve efficiency and quality of educational resource use compared to manual methods.
The document provides the results of a survey of 253 professionals in the facilities management industry in the Middle East. Some key findings from the survey include:
- Respondents were optimistic about business prospects, with a majority expecting increases in turnover, budgets, and workforce size over the next 12 months.
- Demand for facilities management services is expected to grow as more functions are outsourced. However, attracting and retaining skilled staff is seen as a major challenge due to competition.
- Most respondents saw opportunities to expand their business in areas like training and adopting new technologies, though views on how technology is currently being utilized differed.
- Overall the survey indicates positive confidence in the facilities management industry across the Middle East region
The document is the table of contents for Clayton State University's course catalog. It lists the academic and administrative departments, programs, and policies included in the catalog. The catalog is designed to provide students information about Clayton State's offerings and requirements, though provisions may change without notice. It is the student's responsibility to stay aware of current graduation standards.
This document provides an introduction to machine learning. It defines machine learning as developing algorithms that allow computers to learn from experience to improve their performance on tasks. The document outlines supervised learning and other learning frameworks. It discusses applications of machine learning such as autonomous vehicles, recommendation systems, and credit risk analysis. The document also provides examples of machine learning applications at the University of Liege including medical diagnosis, gene expression analysis, and patient classification.
Simple Program for Enhancing Quality in Discussion BoardsRafael Hernandez
1) The document describes a study that analyzed online discussion posts to develop a system called SPEQ-DB (Simple Program for Enhancing Quality in Discussion Boards) that aims to improve discussion quality.
2) The analysis found that response posts had lower readability and keyword density than original posts, and topics tended to drift over time.
3) SPEQ-DB incorporates a quality index formula to provide feedback on individual and group post quality, with the goals of influencing higher quality interactions and increasing network density.
This document discusses using automatic text analysis techniques to streamline the process of multi-dimensional analysis of collaborative learning discussions. It describes a tool called TagHelper that was evaluated against a hand-coded corpus with a 7-dimensional coding scheme. TagHelper achieved a Cohen's Kappa agreement of over 0.7 for 6 of the 7 dimensions when considering only the text segments it was most confident about, and was confident in its coding for at least 88% of the corpus for 5 of those dimensions. The document motivates the need for such automatic analysis to reduce the time and effort required for manual coding of collaborative learning data.
Motivated Machine Learning for Water Resource Managementbutest
The document discusses challenges in water resource management and the potential for embodied intelligence and motivated machine learning to help address these challenges. It proposes using a goal creation system in embodied intelligence to motivate a machine to learn how to efficiently interact with its environment. This approach could help integrate modeling and decision making to support sustainable water policies that consider various social, economic and environmental factors. The document outlines some key challenges in water management and argues that embodied intelligence trained with a goal creation mechanism may help overcome current modeling limitations to better advise decision makers.
Professor Harry Wechsler is a professor of computer science at George Mason University who received his PhD from the University of California, Irvine in 1975. His research focuses on areas related to computer vision, pattern recognition, neural networks, and human-computer interaction. He has over 200 publications and has edited several books. He has also held visiting professorships around the world and serves on the organizing committees for several computer science conferences.
The document describes the Bondec system, a sentence boundary detection system with three applications: Rule-based, HMM, and Maximum Entropy. The Maximum Entropy model is the central part of the system and achieved an error rate of less than 2% on part of the Wall Street Journal corpus using only eight binary features. The document discusses related research on machine learning approaches for sentence boundary disambiguation and describes the authors' approach using Maximum Entropy modeling, which maximizes the conditional entropy of predictions while satisfying constraints from training data.
The Philosophy of Science and its relation to Machine Learningbutest
The document discusses connections between machine learning and the philosophy of science. It argues that while the two disciplines are distinct, they admit a dynamic interaction where ideas are exchanged mutually beneficially. Examples of fruitful interactions discussed include how automated scientific discovery has implications for debates on inductivism vs falsificationism in philosophy of science, and how philosophical work on Bayesian epistemology and causality has influenced machine learning. The document suggests evidence integration may be a locus of future interaction between the two fields.
The Realization of Agent-Based E-mail automatic Handling Systembutest
The document describes an agent-based email handling system that uses machine learning. It divides emails into different "situation" levels based on importance. The agent learns the user's interests over time by analyzing how the user handles emails. It represents emails as weighted keyword vectors and uses the vectors to classify new emails and make recommendations to the user. The agent refines its learning process and dictionary over multiple stages as it gains more experience interacting with the user.
Machine learning seeks to build computer systems that can improve automatically through experience. It involves developing algorithms and techniques that allow computers to "learn" by acquiring knowledge from data without being explicitly programmed. There are two main types of learning - inductive learning, which reasons from examples to reach general conclusions, and deductive learning, where conclusions are logically required by previous statements. Machine learning has many applications including natural language processing, medical diagnosis, and computer vision.
Keyboards, Privacy, and Sensor Webs (Part II)butest
The document discusses security issues with machine learning systems and potential attacks and defenses. It notes that machine learning systems like spam filters and intrusion detection systems need to continuously retrain to learn what is trusted versus untrusted. It describes different types of attacks like influence attacks that aim to manipulate the learning system and integrity attacks that aim to mark intrusions as normal. It also discusses potential defenses like regularization, detection of attacks, and randomization to increase the attacker's effort. The overall theme is that machine learning security requires an evolutionary arms race between new attack techniques and defensive techniques.
Yuanzhe Cai is seeking a full-time software engineer position. He has a Ph.D. in computer science from UT Arlington and experience developing database, big data, and social network analysis projects. His research focused on inferring answer quality and expertise in question/answer communities. He has strong skills in Java, databases, and data mining tools.
This document provides a survey of web usage mining systems and technologies. It discusses the five major functions of a web usage mining system: 1) data gathering through web logs, 2) preparing raw log data, 3) discovering navigation patterns, 4) analyzing and visualizing patterns, and 5) applying patterns. Each function is explained in detail along with related technologies. Major research systems concerning web usage mining are also listed.
May 2022: Top 10 Read Articles in Data Mining & Knowledge Management ProcessIJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Introduction To Data Mining: Introduction - The evolution of database
system technology - Steps in knowledge discovery from database process
- Architecture of a data mining systems - Data mining on different kinds
of data - Different kinds of pattern - Technologies used - Applications -
Major issues in data mining - Classification of data mining systems - Data
mining task primitives - Integration of a data mining system with a
database or data warehouse system.
Student Achievement Review (initially presented during Inauguration Function of the Ohio Center of Excellence in Knowledge-Enabled Computing at Wright State (Kno.e.sis)) - updated since
Center overview: http://bit.ly/coe-k
Invitation: http://bit.ly/COE-invite
The document proposes using multi-agent systems to automatically construct personalized educational plans for students using resources from digital libraries. Course assembly agents will select and schedule resources based on student models and optimize plans using machine learning. Evaluation agents will monitor student progress and refine plans as needed. Ontology agents will extract prerequisite and learning outcome information to generate planning rules from resource descriptions. The system aims to improve efficiency and quality of educational resource use compared to manual methods.
The document provides the results of a survey of 253 professionals in the facilities management industry in the Middle East. Some key findings from the survey include:
- Respondents were optimistic about business prospects, with a majority expecting increases in turnover, budgets, and workforce size over the next 12 months.
- Demand for facilities management services is expected to grow as more functions are outsourced. However, attracting and retaining skilled staff is seen as a major challenge due to competition.
- Most respondents saw opportunities to expand their business in areas like training and adopting new technologies, though views on how technology is currently being utilized differed.
- Overall the survey indicates positive confidence in the facilities management industry across the Middle East region
The document is the table of contents for Clayton State University's course catalog. It lists the academic and administrative departments, programs, and policies included in the catalog. The catalog is designed to provide students information about Clayton State's offerings and requirements, though provisions may change without notice. It is the student's responsibility to stay aware of current graduation standards.
This document provides an introduction to machine learning. It defines machine learning as developing algorithms that allow computers to learn from experience to improve their performance on tasks. The document outlines supervised learning and other learning frameworks. It discusses applications of machine learning such as autonomous vehicles, recommendation systems, and credit risk analysis. The document also provides examples of machine learning applications at the University of Liege including medical diagnosis, gene expression analysis, and patient classification.
Simple Program for Enhancing Quality in Discussion BoardsRafael Hernandez
1) The document describes a study that analyzed online discussion posts to develop a system called SPEQ-DB (Simple Program for Enhancing Quality in Discussion Boards) that aims to improve discussion quality.
2) The analysis found that response posts had lower readability and keyword density than original posts, and topics tended to drift over time.
3) SPEQ-DB incorporates a quality index formula to provide feedback on individual and group post quality, with the goals of influencing higher quality interactions and increasing network density.
This document discusses using automatic text analysis techniques to streamline the process of multi-dimensional analysis of collaborative learning discussions. It describes a tool called TagHelper that was evaluated against a hand-coded corpus with a 7-dimensional coding scheme. TagHelper achieved a Cohen's Kappa agreement of over 0.7 for 6 of the 7 dimensions when considering only the text segments it was most confident about, and was confident in its coding for at least 88% of the corpus for 5 of those dimensions. The document motivates the need for such automatic analysis to reduce the time and effort required for manual coding of collaborative learning data.
Motivated Machine Learning for Water Resource Managementbutest
The document discusses challenges in water resource management and the potential for embodied intelligence and motivated machine learning to help address these challenges. It proposes using a goal creation system in embodied intelligence to motivate a machine to learn how to efficiently interact with its environment. This approach could help integrate modeling and decision making to support sustainable water policies that consider various social, economic and environmental factors. The document outlines some key challenges in water management and argues that embodied intelligence trained with a goal creation mechanism may help overcome current modeling limitations to better advise decision makers.
Professor Harry Wechsler is a professor of computer science at George Mason University who received his PhD from the University of California, Irvine in 1975. His research focuses on areas related to computer vision, pattern recognition, neural networks, and human-computer interaction. He has over 200 publications and has edited several books. He has also held visiting professorships around the world and serves on the organizing committees for several computer science conferences.
The document describes the Bondec system, a sentence boundary detection system with three applications: Rule-based, HMM, and Maximum Entropy. The Maximum Entropy model is the central part of the system and achieved an error rate of less than 2% on part of the Wall Street Journal corpus using only eight binary features. The document discusses related research on machine learning approaches for sentence boundary disambiguation and describes the authors' approach using Maximum Entropy modeling, which maximizes the conditional entropy of predictions while satisfying constraints from training data.
The Philosophy of Science and its relation to Machine Learningbutest
The document discusses connections between machine learning and the philosophy of science. It argues that while the two disciplines are distinct, they admit a dynamic interaction where ideas are exchanged mutually beneficially. Examples of fruitful interactions discussed include how automated scientific discovery has implications for debates on inductivism vs falsificationism in philosophy of science, and how philosophical work on Bayesian epistemology and causality has influenced machine learning. The document suggests evidence integration may be a locus of future interaction between the two fields.
The Realization of Agent-Based E-mail automatic Handling Systembutest
The document describes an agent-based email handling system that uses machine learning. It divides emails into different "situation" levels based on importance. The agent learns the user's interests over time by analyzing how the user handles emails. It represents emails as weighted keyword vectors and uses the vectors to classify new emails and make recommendations to the user. The agent refines its learning process and dictionary over multiple stages as it gains more experience interacting with the user.
Machine learning seeks to build computer systems that can improve automatically through experience. It involves developing algorithms and techniques that allow computers to "learn" by acquiring knowledge from data without being explicitly programmed. There are two main types of learning - inductive learning, which reasons from examples to reach general conclusions, and deductive learning, where conclusions are logically required by previous statements. Machine learning has many applications including natural language processing, medical diagnosis, and computer vision.
Keyboards, Privacy, and Sensor Webs (Part II)butest
The document discusses security issues with machine learning systems and potential attacks and defenses. It notes that machine learning systems like spam filters and intrusion detection systems need to continuously retrain to learn what is trusted versus untrusted. It describes different types of attacks like influence attacks that aim to manipulate the learning system and integrity attacks that aim to mark intrusions as normal. It also discusses potential defenses like regularization, detection of attacks, and randomization to increase the attacker's effort. The overall theme is that machine learning security requires an evolutionary arms race between new attack techniques and defensive techniques.
Yuanzhe Cai is seeking a full-time software engineer position. He has a Ph.D. in computer science from UT Arlington and experience developing database, big data, and social network analysis projects. His research focused on inferring answer quality and expertise in question/answer communities. He has strong skills in Java, databases, and data mining tools.
This document provides a survey of web usage mining systems and technologies. It discusses the five major functions of a web usage mining system: 1) data gathering through web logs, 2) preparing raw log data, 3) discovering navigation patterns, 4) analyzing and visualizing patterns, and 5) applying patterns. Each function is explained in detail along with related technologies. Major research systems concerning web usage mining are also listed.
May 2022: Top 10 Read Articles in Data Mining & Knowledge Management ProcessIJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Introduction To Data Mining: Introduction - The evolution of database
system technology - Steps in knowledge discovery from database process
- Architecture of a data mining systems - Data mining on different kinds
of data - Different kinds of pattern - Technologies used - Applications -
Major issues in data mining - Classification of data mining systems - Data
mining task primitives - Integration of a data mining system with a
database or data warehouse system.
Student Achievement Review (initially presented during Inauguration Function of the Ohio Center of Excellence in Knowledge-Enabled Computing at Wright State (Kno.e.sis)) - updated since
Center overview: http://bit.ly/coe-k
Invitation: http://bit.ly/COE-invite
Cyberinfrastructure and its Role in ScienceCameron Kiddle
This presentation examines some of the challenges scientists face and describes various cyberinfrastructure technologies that help address these challenges. Example projects employing cyberinfrastructure technologies that we have worked on at the Grid Research Centre, including the GeoChronos project, are also presented. This presentation was given at the IAI International Wireless Sensor Networks Summer School held at the University of Alberta on July 6th, 2009.
"From Big Data to Smart data"
Jie (Jack) Yang, Associate Research Fellow, SMART Infrastructure Facility, presented a summary of his research as part of the SMART Seminar Series on 28 April 2016.
For more information, visit the event page at: http://smart.uow.edu.au/events/UOW212890.html.
Top cited articles 2020 - Advanced Computational Intelligence: An Internation...aciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses improving web performance through prefetching frequently accessed pages. It begins by introducing the concept of prefetching web pages to reduce latency. Next, it reviews related work on predictive prefetching using techniques like Markov models and association rules to predict future page access. Finally, it proposes an approach to increase web performance by analyzing user access logs and website structure to predict pages for prefetching. The goal is to reduce latency and improve user experience by prefetching relevant pages in the background.
This document discusses developing soft computing techniques for reasoning from uncertain data in big data analytics. It aims to classify big data, extract frequent patterns, and propose algorithms and machine learning techniques to discover patterns from uncertain big data. The objectives are to preprocess uncertain data, propose graphical models and machine learning techniques to discover patterns and mine frequent patterns from uncertain web documents. The methodology involves classifying big data, proposing concurrent classification strategies for reasoning, and developing tools to identify patterns to reduce uncertainty from big data.
IRJET- A Literature Review and Classification of Semantic Web Approaches for ...IRJET Journal
This document discusses using semantic web approaches for web personalization. It begins with an abstract that outlines how web personalization can help address the problem of information overload by recommending and filtering web pages according to a user's interests. The document then reviews related work on using ontologies and semantic web technologies for personalized e-learning, recommender systems, and other applications. It categorizes different semantic web approaches that have been used for web personalization, including their pros and cons. The overall purpose is to survey semantic web techniques for personalization and how they have been applied in previous research.
This document summarizes research on improving search engine efficiency by maximizing the retrieval of information related to person names and aliases. It discusses how search engines work, including web crawling to index pages and information retrieval techniques to match queries. The authors propose using anchor text mining to create a graph of co-occurrence relationships between names and aliases in order to automatically discover association orders between them. This would allow search engines to better tag aliases according to their order of association, improving recall and mean reciprocal rank when searching for information on person names.
[DSC Croatia 22] Writing scientific papers about data science projects - Mirj...DataScienceConferenc1
Data science is not only about numbers and how to crunch them; it is also about how to communicate project results with the various audience. Scientific journals and conferences are an excellent venue for getting a wider audience reach and gathering valuable comments. The talk will answer the questions: How to structure a scientific paper in data science? What are relevant venues for showcasing your work to gain the most relevant reach? To demystify the process of scientific writing, the case study will be presented: Messy process: Story of the birth of one data science paper.
Lei Zheng has over 15 years of experience in areas such as machine learning, data mining, and software development. He currently works as a Senior Software Engineer at Yahoo, where he develops algorithms for spam filtering and detection of abusive behavior. Previously he held research positions at the University of Pittsburgh and JustSystems Evans Research, where he implemented algorithms and systems for information retrieval, natural language processing, and data mining.
This document provides a literature survey and comparison of different techniques for web mining, including web structure mining, web usage mining, and web content mining. It summarizes various page ranking algorithms and models like PageRank, Weighted PageRank, HITS, General Utility Mining, and Topological Frequency Utility Mining. The document compares these algorithms and models based on the type of web mining activity, whether they consider website topology, their processing approach, and limitations. It aims to help compare techniques for analyzing the structure, usage, and content of websites.
Classifying malicious websites using an ensemble weighted featuresDharmendra Vishwakarma
Research Project - Master's in Data Analytics
Applying different statistical and machine learning techniques learned as a part of Data Analytics coursework is applied on Thesis Project to solve the malicious web page detection.
This curriculum vitae summarizes the qualifications and experience of Dr. Jie Bao. He is currently a research associate at Rensselaer Polytechnic Institute, a research affiliate at MIT, and a visiting scientist at Raytheon BBN Technologies. He received his Ph.D. in computer science from Iowa State University in 2007. His research focuses on areas including semantic web, linked data, description logics, and ontology engineering. He has over 50 publications and has served on numerous conference committees.
October 2023-Top Cited Articles in IJU.pdfijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
EarthCube Monthly Community Webinar- Nov. 22, 2013EarthCube
This webinar features project overviews of all EarthCube Awards (Building Blocks, Research Coordination Networks, Conceptual Designs, and Test Governance), followed by a call for involvement, and a Q&A session.
Agenda:
EarthCube Awards – Project Overviews
1.. EarthCube Web Services (Building Block)
2. EC3: Earth-Centered Community for Cyberinfrastructure (RCN)
3. GeoSoft (Building Block)
4. Specifying and Implementing ODSIP (Building Block)
5. A Broker Framework for Next Generation Geoscience (BCube) (Building Block)
6. Integrating Discrete and Continuous Data (Building Block)
7. EAGER: Collaborative Research (Building Block)
8. A Cognitive Computer Infrastructure for Geoscience (Building Block)
9. Earth System Bridge (Building Block)
10. CINERGI – Community Inventory of EC Resources for Geoscience Interoperability (BB)
11. Building a Sediment Experimentalist Network (RCN)
12. C4P: Collaboration and Cyberinfrastructure for Paleogeosciences (RCN)
13. Developing a Data-Oriented Human-centric Enterprise for Architecture (CD)
14. Enterprise Architecture for Transformative Research and Collaboration (CD)
15. EC Test Enterprise Governance: An Agile Approach (Test Governance)
A Call for Involvement!
Este documento analiza el modelo de negocio de YouTube. Explica que YouTube y otros sitios de video online representan un nuevo modelo de negocio para contenidos audiovisuales debido al cambio en los hábitos de consumo causado por las nuevas tecnologías. Describe cómo YouTube aprovecha la participación de los usuarios para mejorar continuamente y atraer una audiencia diferente a la de los medios tradicionales.
The defense was successful in portraying Michael Jackson favorably to the jury in several ways:
1) They dressed Jackson in ornate costumes that conveyed images of purity, innocence, and humility.
2) Jackson was shown entering the courtroom as if on a red carpet, emphasizing his celebrity status.
3) Jackson appeared vulnerable, childlike, and in declining health during the trial, eliciting sympathy from jurors.
4) Defense attorney Tom Mesereau effectively presented a coherent narrative of Jackson as a victim and portrayed Neverland as a place of refuge, undermining the prosecution's arguments.
Michael Jackson was born in 1958 in Gary, Indiana and rose to fame in the 1960s as the lead singer of The Jackson 5, topping music charts in the 1970s. As a solo artist in the 1980s, his album Thriller broke music records. In the 1990s and 2000s, Jackson faced several legal issues related to child abuse allegations while continuing to release music. He married Lisa Marie Presley and Debbie Rowe and had two children before his death in 2009.
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...butest
This document appears to be a list of popular books from various authors. It includes over 150 book titles across many genres such as fiction, non-fiction, memoirs, and novels. The books cover a wide range of topics from politics to cooking to autobiographies.
The prosecution lost the Michael Jackson trial due to several key mistakes and weaknesses in their case:
1) The lead prosecutor, Thomas Sneddon, was too personally invested in the case against Jackson, having pursued him for over a decade without success.
2) Sneddon's opening statement was disorganized and weak, failing to effectively outline the prosecution's case.
3) The accuser's mother was not credible and damaged the prosecution's case through her erratic testimony, history of lies and con artist behavior.
4) Many prosecution witnesses were not credible due to prior lawsuits against Jackson, debts owed to him, or having been fired by him. Several witnesses even took the Fifth Amendment.
Here are three examples of public relations from around the world:
1. The UK government's "Be Clear on Cancer" campaign which aims to raise awareness of cancer symptoms and encourage early diagnosis.
2. Samsung's global brand marketing and sponsorship activities which aim to increase brand awareness and favorability of Samsung products worldwide.
3. The Brazilian government's efforts to improve its international image and relations with other countries through strategic communication and diplomacy.
The three most important functions of public relations are:
1. Media relations because the media is how most organizations reach their key audiences. Strong media relationships are crucial.
2. Writing, because written communication is at the core of public relations and how most information is
Michael Jackson Please Wait... provides biographical information about Michael Jackson including his birthdate, birthplace, parents, height, interests, idols, favorite foods, films, and more. It discusses his background, career highlights including influential albums like Thriller, and films he appeared in such as The Wiz and Moonwalker. The document contains photos and details about Jackson's life and illustrious music career.
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazzbutest
The document discusses the process of manufacturing celebrity and its negative byproducts. It argues that celebrities are rarely the best in their individual pursuits like singing, dancing, etc. but become famous due to being products of a system controlled by wealthy elites. This system stifles opportunities for worthy artists and creates feudalism. The document also asserts that manufactured celebrities should not be viewed as role models due to behaviors like drug abuse and narcissism that result from the celebrity-making process.
Michael Jackson was a child star who rose to fame with the Jackson 5 in the late 1960s and early 1970s. As a solo artist in the 1970s and 1980s, he had immense commercial success with albums like Off the Wall, Thriller, and Bad, which featured hit singles and groundbreaking music videos. However, his career and public image were plagued by controversies related to allegations of child sexual abuse in the 1990s and 2000s. He continued recording and performing but faced ongoing media scrutiny into his private life until his death in 2009.
Social Networks: Twitter Facebook SL - Slide 1butest
The document discusses using social networking tools like Twitter and Facebook in K-12 education. Twitter allows students and teachers to share short updates and can be used to give parents a window into classroom activities. Facebook allows targeted advertising that could be used to promote educational activities. Both tools could help facilitate communication between schools and communities if used properly while managing privacy and security concerns.
Facebook has over 300 million active users who log on daily, and allows brands to create public profile pages to interact with users. Pages are for brands and organizations only, while groups can be made by any user about any topic. Pages do not show admin names and have no limits on fans, while groups display admin names and are limited to 5,000 members. Content on pages should aim to provoke action from subscribers and establish a regular posting schedule using a conversational tone.
Executive Summary Hare Chevrolet is a General Motors dealership ...butest
Hare Chevrolet is a car dealership located in Noblesville, Indiana that has successfully used social media platforms like Twitter, Facebook, and YouTube to create a positive brand image. They invest significant time interacting directly with customers online to foster a sense of community rather than overtly advertising. As a result, Hare Chevrolet has built a large, engaged audience on social media and serves as a model for how brands can use online presences strategically.
Welcome to the Dougherty County Public Library's Facebook and ...butest
This document provides instructions for signing up for Facebook and Twitter accounts. It outlines the sign up process for both platforms, including filling out forms with name, email, password and other details. It describes how the platforms will then search for friends and suggest people to connect with. It also explains how to search for and follow the Dougherty County Public Library page on both Facebook and Twitter once signed up. The document concludes by thanking participants and providing a contact for any additional questions.
Paragon Software announces the release of Paragon NTFS for Mac OS X 8.0, which provides full read and write access to NTFS partitions on Macs. It is the fastest NTFS driver on the market, achieving speeds comparable to native Mac file systems. Paragon NTFS for Mac 8.0 fully supports the latest Mac OS X Snow Leopard operating system in 64-bit mode and allows easy transfer of files between Windows and Mac partitions without additional hardware or software.
This document provides compatibility information for Olympus digital products used with Macintosh OS X. It lists various digital cameras, photo printers, voice recorders, and accessories along with their connection type and any notes on compatibility. Some products require booting into OS 9.1 for software compatibility or do not support devices that need a serial port. Drivers and software are available for download from Olympus and other websites for many products to enable use with OS X.
To use printers managed by the university's Information Technology Services (ITS), students and faculty must install the ITS Remote Printing software on their Mac OS X computer. This allows them to add network printers, log in with their ITS account credentials, and print documents while being charged per page to funds in their pre-paid ITS account. The document provides step-by-step instructions for installing the software, adding a network printer, and printing to that printer from any internet connection on or off campus. It also explains the pay-in-advance printing payment system and how to check printing charges.
The document provides an overview of the Mac OS X user interface for beginners, including descriptions of the desktop, login screen, desktop elements like the dock and hard disk, and how to perform common tasks like opening files and folders. It also addresses frequently asked questions for Windows users switching to Mac OS X, such as where documents are stored, how to save or find documents, and what the equivalent of the C: drive is in Mac OS X. The document concludes with sections on file management tasks like creating and deleting folders, organizing files within applications, using Spotlight search, and an overview of the Dashboard feature.
This document provides a checklist for securing Mac OS X version 10.5, focusing on hardening the operating system, securing user accounts and administrator accounts, enabling file encryption and permissions, implementing intrusion detection, and maintaining password security. It describes the Unix infrastructure and security framework that Mac OS X is built on, leveraging open source software and following the Common Data Security Architecture model. The checklist can be used to audit a system or harden it against security threats.
This document summarizes a course on web design that was piloted in the summer of 2003. The course was a 3 credit course that met 4 times a week for lectures and labs. It covered topics such as XHTML, CSS, JavaScript, Photoshop, and building a basic website. 18 students from various majors enrolled. Student and instructor evaluations found the course to be very successful overall, though some improvements were suggested like ensuring proper software and pairing programming/non-programming students. The document also discusses implications of incorporating web design material into existing computer science curriculums.
1. Kunal Punera
870 E El Camino Real, Apt 119,
Mountain View, CA 94040, USA
1-512-659-4925
kpu{rest of lastname} @ yahoo {hyphen} inc {dot} com
http://www.lans.ece.utexas.edu/~kunal
Last updated: Sep 2008
Seeking a full time position with a research lab working on Web/Data Mining, Information
Objective Retrieval, and Machine Learning.
Research Interests Web Data Analysis, Data Mining, Machine Learning, Information Retrieval
Education Dept. of Electrical and Computer Engineering, University of Texas at Austin.
• Ph.D., Computer Engineering (Dec 2004 – Aug 2007)
• Master of Science, Computer Engineering (Aug 2002 - Dec 2004),
Major GPA: 4.0 Overall GPA: 3.9
Relevant Courses: Data Mining, Advanced Data Mining, Machine Learning, Web Mining,
Web Information Retrieval, Introduction to Neural Networks, Probability and Stochastic
Processes I, Information Theory, Bioinformatics, Engineering Programming Languages,
Verification and Validation of Software Systems
Sardar Patel College of Engineering, University of Mumbai (Bombay).
• Bachelor of Engineering, Computer Engineering, (Aug 1997 - May 2001)
Major GPA: 3.9 Overall GPA: 3.8
Relevant Courses: Artificial Intelligence, Database Systems, Computer Networks, Object
Oriented Programming, Computer Methodology and Algorithms, Software Engineering,
Structured Systems Analysis and Design
Professional Conference Program Committee
Activity • WWW 2009: 18th International World Wide Web Conference
• SDM 2009: SIAM International Conference on Data Mining
• ICDM 2008: IEEE International Conference on Data Mining
• WWW 2008: 17th International World Wide Web Conference
• WSDM 2008: 1st ACM International Conference on Web Search and Data Mining
• KDD 2007: 13th ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining
Reviewer: Conferences
• ICDE 2008: IEEE International Conference on Data Engineering
• KDD 2005: ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining
• WWW 2006/03: International World Wide Web Conference
• AAAI 2005: AAAI Conference on Artificial Intelligence
• MCS 2005/04: International Workshop on Multi-classifier Systems
• SDM 2004: SIAM International Conference on Data Mining
• ICDM 2003: IEEE International Conference on Data Mining
Reviewer: Journals
• ACM Transaction on the Web
• World Wide Web Journal
• IEEE Transactions on Knowledge and Data Engineering
• ACM Transactions on Information Systems
• Journal of Web Intelligence and Agent Systems
Publications
2. Chapters:
with Joydeep Ghosh, Soft Consensus Clustering, in Advances in Fuzzy Clustering and its
Applications, J. Oliveira and W. Pedrycz, (eds), Wiley, March 2007
Journal papers:
with Joydeep Ghosh, Consensus Based Ensembles of Soft Clusterings, Journal of
Applied Artificial Intelligence, Volume 22, Numbers 7-8, August2008
with Aris Anagnostopoulos and Andrei Broder, Effective and Efficient Classification via
a Search Engine Model, Journal of Knowledge and Information Systems, Volume 16,
Issue 2, Springer-Verlag New York, September 2007
with Soumen Chakrabarti, Mukul Joshi, and David Pennock, The structure of broad
topics on the Web, Complexity Digest, Vol 14, April 2002
with Soumen Chakrabarti, R. Jaju, and Mukul Joshi, Analyzing fine-grained hypertext
features for enhanced crawling and topic distillation, IEEE Data Engineering, Vol. 25,
No. 1, March 2002
Conference papers:
with Deepayan Chakrabarti and Ravi Kumar, Generating Succinct Titles for Web Pages,
accepted at 12th ACM International Conference on Knowledge Discovery and Data Mining
(KDD), Aug 2008
with Joydeep Ghosh, Enhanced Hierarchical Classification via Isotonic Smoothing, 17th
International World Wide Web Conference (WWW), April 2008
with Deepayan Chakrabarti and Ravi Kumar, A Graph-theoretic Approach to Webpage
Segmentation, 17th International World Wide Web Conference (WWW), April 2008
with Deepayan Chakrabarti and Ravi Kumar, Page-Level Template Detection via
Isotonic Smoothing, 16th International World Wide Web Conference (WWW), May 2007
with Suju Rajan and Joydeep Ghosh, Automatic Construction of N-ary Tree based
Taxonomies, 6th IEEE International Conference on Data Mining (ICDM), Dec 2006
with Aris Anagnostopoulos and Andrei Broder, Effective and Efficient Classification via
a Search Engine Model, 15th ACM Conference on Information and Knowledge
Management (CIKM), Nov 2006
with Ravi Kumar and Andrew Tomkins, Hierarchical Topic Segmentation of Websites,
12th ACM International Conference on Knowledge Discovery and Data Mining (KDD),
Aug 2006
with Joydeep Ghosh, CLUMP: a Scalable and Robust Framework for Structure
Discovery, 5th IEEE International Conference on Data Mining (ICDM), Nov 2005
with Suju Rajan and Joydeep Ghosh, A Maximum Likelihood Framework for
Integrating Taxonomies, 25th AAAI Conference, on Artificial Intelligence July 2005
with David Gibson and Andrew Tomkins, The Volume and Evolution of Web Page
Templates, 14th International World Wide Web Conference (WWW), May 2005
with Suju Rajan and Joydeep Ghosh, Automatically Learning Document Taxonomies
for Hierarchical Classification, 14th International World Wide Web Conference (WWW),
May 2005
3. with Soumen Chakrabarti and Mallela Subramanyam, Accelerated Focused Crawling
through Online Relevance Feedback, 11th International World Wide Web Conference
(WWW), May 2002
with Soumen Chakrabarti, Mukul Joshi, and David Pennock, The Structure of Broad
Topics on the Web, 11th International World Wide Web Conference (WWW), May 2002
Patents:
Torsten Suel, Kunal Punera, Ravi Kumar, Sergei Vassilvitskii, System and Method for
Aggregating a List of Top Ranked Objects from Combination Attribute Lists Using
an Early Termination Algorithm, filed Sep 2008
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera, Generating Succinct Titles for Web
URLs, filed Aug 2008
Kunal Punera, Suju Rajan, Method and Apparatus for Utilizing Social Network
Information for Showing Reviews, filed May 2008
Kunal Punera, A Method and System for Determining if a Computer User is Human,
filed Mar 2008
Ravi Kumar, Deepayan Chakrabarti, Kunal Punera, Method for Segmenting Web Pages,
filed Mar 2008
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera, System and Method for Smoothing
Hierarchical Data using Isotonic Regression, filed May 2007
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera, A Method and System for Detecting
Templates in a Web Page, filed May 2007
Kunal Punera, Ravi Kumar, Andrew Tomkins, System and Method for Hierarchical
Segmentation of Websites by Topic, filed Aug 2006
University Research
Experience Intelligent Data Exploration and Analysis Lab (with Dr. Joydeep Ghosh)
August 2002 - to date http://www.ideal.ece.utexas.edu
Dept. of Electrical and Computer Engineering, University of Texas-Austin
I am currently working in Dr. Joydeep Ghosh's research group on automatic
construction, integration, and other analysis for data organized as hierarchical taxonomies.
In previous semesters I have investigated combining multiple clustering results to aid
distributed and robust data mining, web usage mining for e-commerce websites, and
clustering of streaming data.
Aug 2003 – Jan 2004 School of Information Science (with Dr. Don Turnbull)
http://www.ischool.utexas.edu/~donturn/
University of Texas-Austin
My research concentrated on cognitive models of user behavior on the Web. This was a
continuation of my work with Dr. Ghosh on clustering customers on e-commerce websites.
We were interested in being able to quantify, and eventually classify patterns of user
interaction with websites.
July 2001 - June 2002 Lab for Intelligent Internet Research (with Dr. Soumen Chakrabarti)
http://www.cse.iitb.ac.in/laiir/
Indian Institute of Technology-Bombay
I worked with Dr. Soumen Chakrabarti on Hypertext Information Retrieval and Mining.
My work primarily involved adapting machine learning techniques for better classification
of hypertext in order to aid focused web crawlers.
Jan 2001 - May 2002 Part Whole Relations (with Dr. R. K. Joshi)
http://www.cse.iitb.ac.in/~rkj/
4. Indian Institute of Technology-Bombay
I worked with Dr. Rushikesh Joshi on the Taxonomy of Meronymic (Part-Whole)
relations. The product of the research is an improved taxonomy, which includes additional
constraints introduced by us.
Industry Research
Experience Yahoo! Research
August 2005 - to date http://www.research.yahoo.com
Dept. of Electrical and Computer Engineering, University of Texas-Austin
For the last couple of years, Yahoo! Research has been funding my work at UT-Austin,
and I have been visiting and interning with them. My research involves development of
smoothing and segmentation algorithms for tree structured data and applying them to
problems in webpage and website segmentation as well as page-level template (noise)
detection. I have also been working on improving the speed and accuracy of query
processing by exploiting correlations between query terms.
IBM Almaden Research Center
June 2004 – Aug 2004 http://www.almaden.ibm.com/
June 2005 – Aug 2005 University of Texas-Austin
I interned for two summers with the WebFountain group which was concerned with
creating a web search engine that extracted and utilized deep semantic information about
entities in webpages. My research involved removal of noise due to webpage templates and
fast and accurate webpage classification via the search engine model.
Verity Inc., (now acquired by Autonomy Inc.)
June 2003 - Aug 2003 http://www.verity.com
I worked with the Development and Emerging Technologies divisions to identify and
test the efficacy of a new query independent score for Intranet documents. The result of this
work was identification of the features and their weights which comprise the query
independent score. In the course of my work I set up a Relevance Measurement Framework
which was used to compare the Verity search engine with other such products or with
different settings of parameters. Other by-products of this work included a way to
automatically generate relevance judgments.
Work Experience ECE Department, The University of Texas at Austin, http://www.ece.utexas.edu/
Jan 2004 – May 2005 Teaching Assistant for Data Mining
This course teaches data mining from a machine learning perspective. I was in charge of
helping the students with the assignments and various tools like WEKA and SAS. Apart
from this I had regular duties like grading the assignment, presentations, and projects.
ECE Department, The University of Texas at Austin, http://www.ece.utexas.edu/
Aug 2002 – May 2003 Teaching Assistant for Electronic Circuits I
My responsibilities included teaching and guiding lab sessions of the Electronic Circuits
I class. We used tools such as PSPICE and LabView to perform the measurement
experiments. I also conducted examinations and graded the lab assignments.
Acquisnet Software, Bombay, http://www.acquisi.com/
Jan 2000 - June 2001 Project Designer
My work involved the complete development of web sites, from acquiring user
requirements to designing the databases and overseeing the programming and deployment.
In my capacity as a project designer I designed and implemented www.jyotiindia.com,
www.fortpointautomotive.com and the online auction and shopping modules of
www.orangefrog.com, a horizontal portal. I used technologies such as Java,
ASP, and Javascript during this stint.
Computer Skills Programming Languages: C, C++, Java, Perl, Visual Basic, ASP, Javascript
DBMS: IBM DB2, MS Access, Berkeley DB
Tools and Libraries: WEKA, MATLAB, SNNS, UML
Operating Systems: Linux /Unix, Windows (95-XP), and DOS
Markup Languages: HTML, XML, Latex
Non-Technical Skills Organizational and leadership skills: I was the ‘Head Boy’ of Naval Public School (high
school) in (96’-97’). I captained the soccer team in both my high school and
5. undergraduate institution. I also organized various technical events in SPACE, our inter-
college festival. I honed my interpersonal skills and ability to work in a team at
Acquisnet Software and later in Intelligent Internet research group at I.I.T.-Bombay.
Extra-Curricular: I captained my undergraduate college’s soccer team. I also represented
my college in badminton and table tennis. I learnt to play the guitar for many years.
Accomplishments Merit Scholarship Award, Ministry of Human Resources, Govt. of India, 1997
'Dhirubhai Ambani Foundation' scholarship (1997-2001) for being placed 9th in the All
India Senior School Certificate Examination (AISSCE) in the state of Maharashtra.
Merit certificate awarded by CBSE for being placed in the top 0.1% of all scoring
students (approx. 2,500,000) from all over India in the AISSCE.
'Indian Naval Benevolent Association' scholarship (1997,1998,1999,2000).
'Best Senior Student of the year 1995-1996 in Naval Public School. Also elected 'Head
Boy' in the academic year 1996-1997.
Merit Certificate awarded by 'All Goa Mathematics Teachers Association' for being placed
in the 4th in the state level Math Competitive Test in year 1993.
Employability Status: O-1 visa (Yahoo!).
References: Available on request