Spinque @ Search Engines Amsterdam (SEA)
http://www.meetup.com/SEA-Search-Engines-Amsterdam/events/216345662/
Spinque is a spin-off company from CWI that builds on the research into Databases and Information Retrieval integration. We build tailor made search engines over connected datasets. With the Spinque technology we compose a search engine out of building blocks and compile this “search strategy” into an efficient query program. In the talk we explain and demonstrate the Search by Strategy approach. In addition, we discuss our current developments and challenges in searching Linked Data.
Bio: Michiel Hildebrand received his PhD from University of Amsterdam (at CWI) in 2010 for his research on access to Linked Data. He worked as a researcher at VU University and CWI. In 2014 he joined Spinque to apply the company’s search by strategy approach to Linked Data.
This is my class project using UCI Mashable dataset to determine what constitutes popular news. In this project, I used (1) multiple regression and model building and (2) PCA and factor analysis.
Data Analytics Tools: SAS and R
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
Spinque @ Search Engines Amsterdam (SEA)
http://www.meetup.com/SEA-Search-Engines-Amsterdam/events/216345662/
Spinque is a spin-off company from CWI that builds on the research into Databases and Information Retrieval integration. We build tailor made search engines over connected datasets. With the Spinque technology we compose a search engine out of building blocks and compile this “search strategy” into an efficient query program. In the talk we explain and demonstrate the Search by Strategy approach. In addition, we discuss our current developments and challenges in searching Linked Data.
Bio: Michiel Hildebrand received his PhD from University of Amsterdam (at CWI) in 2010 for his research on access to Linked Data. He worked as a researcher at VU University and CWI. In 2014 he joined Spinque to apply the company’s search by strategy approach to Linked Data.
This is my class project using UCI Mashable dataset to determine what constitutes popular news. In this project, I used (1) multiple regression and model building and (2) PCA and factor analysis.
Data Analytics Tools: SAS and R
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Scope & Topics
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
Operations Research and Applications : An International Journal (ORAJ)orajjournal
Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas.
Operations Research and Applications : An International Journal (ORAJ)orajjournal
Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas.
International Journal in Foundations of Computer Science & Technology(IJFCST)ijfcst journal
Over the last decade, there has been an explosion in the field of computer science to solve various problems from mathematics to engineering. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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
GRAPH-HOC is a quarterly open access peer-reviewed journal focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks.
International Journal on Applications of Graph Theory in Wireless Ad hoc Netw...graphhoc
GRAPH-HOC is a quarterly open access peer-reviewed journal focuses on the applications of graph theory in different areas
of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks.
Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility,
energy efficiency and topology control. Papers submitted for the journal should focus on a problem that is of both theoretical
as well as practical interest in the area of ad hoc networks and sensor networks. This journal will thus provide a
platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Scope & Topics
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.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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.
Operations Research and Applications : An International Journal (ORAJ)orajjournal
Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas.
Operations Research and Applications : An International Journal (ORAJ)orajjournal
Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas.
International Journal in Foundations of Computer Science & Technology(IJFCST)ijfcst journal
Over the last decade, there has been an explosion in the field of computer science to solve various problems from mathematics to engineering. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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
GRAPH-HOC is a quarterly open access peer-reviewed journal focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks.
International Journal on Applications of Graph Theory in Wireless Ad hoc Netw...graphhoc
GRAPH-HOC is a quarterly open access peer-reviewed journal focuses on the applications of graph theory in different areas
of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks.
Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility,
energy efficiency and topology control. Papers submitted for the journal should focus on a problem that is of both theoretical
as well as practical interest in the area of ad hoc networks and sensor networks. This journal will thus provide a
platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
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
Parallel and Distributed System IEEE 2015 ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for the year 2015
Knowledge and Data Engineering IEEE 2015 ProjectsVijay Karan
List of Knowledge and Data Engineering IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Knowledge and Data Engineering for the year 2015
Information Forensics and Security IEEE 2015 ProjectsVijay Karan
List of Information Forensics and Security IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Information Forensics and Security for the year 2015
Data Insight-Driven Project Delivery ACADIA 2017gapariciojr
Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This presentation describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
Data pipelines are the heart and soul of data science. Are you a beginner looking to understand data pipelines? A glimpse into what they are and how they work.
Data Mining of Project Management Data: An Analysis of Applied Research Studies.Gurdal Ertek
Data collected and generated through and posterior to projects, such as data residing in project management software and post project review documents, can be a major source of actionable insights and competitive advantage. This paper presents a rigorous
methodological analysis of the applied research published in academic literature, on the application of data mining (DM) for project management (PM). The objective of the paper is to provide a comprehensive analysis and discussion of where and how data mining is applied for project management data and to provide practical insights for future research in the field.
https://dl.acm.org/citation.cfm?id=3176714
https://ertekprojects.com/ftp/papers/2017/ertek_et_al_2017_Data_Mining_of_Project_Management_Data.pdf
WebSite Visit Forecasting Using Data Mining TechniquesChandana Napagoda
Data mining is a technique which is used for identifying relationships between various large amounts of data in many areas including scientific research, business planning, traffic analysis, clinical trial data mining etc. This research will be researching applicability of data mining techniques in web site visit prediction domain. Here we will be concentrating on time series regression techniques which will be used to analyse and forecast time dependent data points. Then how those techniques will be applied to forecast web site visits will be explained.
The recruitment of new personnel is one of the most essential business processes which affect the quality of human capital within any company. It is highly essential for the companies to ensure the recruitment of right talent to maintain a competitive edge over the others in the
market. However IT companies often face a problem while recruiting new people for their ongoing projects due to lack of a proper framework that defines a criteria for the selection process. In this paper we aim to develop a framework that would allow any project manager to
take the right decision for selecting new talent by correlating performance parameters with the
other domain-specific attributes of the candidates. Also, another important motivation behind this project is to check the validity of the selection procedure often followed by various big companies in both public and private sectors which focus only on academic scores, GPA/grades
of students from colleges and otheracademic backgrounds. We test if such a decision will produce optimal results in the industry or is there a need for change that offers a more holistic approach to recruitment of new talent in the software companies. The scope of this work extends beyond the IT domain and a similar procedure can be adopted to develop a recruitment
framework in other fields as well. Data-mining techniques provide useful information from the historical projects depending on which the hiring-manager can make decisions for recruiting high-quality workforce. This study aims to bridge this hiatus by developing a data-mining
framework based on an ensemble-learning technique to refocus on the criteria for personnel selection. The results from this research clearly demonstrated that there is a need to refocus on the selection-criteria for quality objectives.
Data Analytics Course Curriculum_ What to Expect and How to Prepare in 2023.pdfNeha Singh
In 2023, aspiring data analysts can expect comprehensive data analytics course curriculums covering essential topics like statistical analysis, data visualization, machine learning, and big data processing. To prepare for the course, brushing up on basic mathematics, programming, and data handling skills would be beneficial.
M.Phil Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
M.E Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.E Computer Science students.
M.Phil Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.Phil Computer Science students.
M.E Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.E Computer Science students.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
1. Big Data Analytics IEEE 2015 Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/big-data-analytics-ieee-2015-projects
Title :Inference Patterns from Big Data using Aggregation, Filtering and Tagging- A Survey
Language : C#
Project Link : http://kasanpro.com/p/c-sharp/big-data-omferemce-patterns-aggregation-filtering-tagging
Abstract : This paper reviews various approaches to infer the patterns from Big Data using aggregation, filtering and
tagging. Earlier research shows that data aggregation concerns about gathered data and how efficiently it can be
utilized. It is understandable that at the time of data gathering one does not care much about whether the gathered
data will be useful or not. Hence, filtering and tagging of the data are the crucial steps in collecting the relevant data to
fulfill the need. Therefore the main goal of this paper is to present a detailed and comprehensive survey on different
approaches. To make the concept clearer, we have provided a brief introduction of Big Data, how it works, working of
two data aggregation tools (namely, flume and sqoop), data processing tools (hive and mahout) and various
algorithms that can be useful to understand the topic. At last we have included comparisons between aggregation
tools, processing tools as well as various algorithms through its pre-process, matching time, results and reviews.