For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses online surveys, including when to conduct them, best practices for development, advantages, and disadvantages. Some key points covered include that online surveys can be used at different stages of development to understand users and gather feedback. They should be brief, clearly indicate progress, and include a mix of open and closed-ended questions. While price and accessibility are advantages, biases can occur if distribution channels are not carefully chosen and engagement tends to drop off after 10 minutes.
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...GISRUK conference
This study examined trust perceptions of non-expert users interacting with the Environment Agency's "What's In Your Back Yard" (WIYBY) web GIS application. 10 participants completed tasks and questionnaires about the site. Most tasks failed and users found the site difficult to use, but they still trusted the information despite perceiving a lack of transparency. The results suggest functional attributes like maps may be less important than perceptual attributes in influencing trust of web GIS systems. Future work will test redesigned interfaces to understand how to build trust through design.
Data migrations can look like deceivingly straightforward efforts when in fact they are risky undertakings. This presentation shares what many data practitioners and project managers see as the #1 success factor for data migration projects. Become a data migration hero by paying attention to this simple yet highly effective recommendation.
Four major causes of difficulty in gathering system requirement and business requirements, Reasons projects were
abandoned.Three Generations of System Development:1. Direct Contact 2. Business Analyst 3.Team Based.
Using Complex Event Processing for Modeling Semantic Requests in Real-Time So...dominikriemer
This document discusses using semantic requests to model complex event processing patterns for real-time social media monitoring. It presents use cases for proactive marketing and real-time spinning. The system architecture employs distributed complex event processing with semantic requests to define patterns using domain knowledge. Semantic requests simplify pattern definition by making use of an ontology and background knowledge. They are translated to non-semantic queries for processing. The approach was prototyped and future work could enhance patterns with importance based on related technical or financial topics.
1. The document proposes techniques to improve search performance by matching schemas between structured and unstructured data sources.
2. It involves constructing schema mappings using named entities and schema structures. It also uses strategies to narrow the search space to relevant documents.
3. The techniques were shown to improve search accuracy and reduce time/space complexity compared to existing methods.
19Question 1 4 4 pointsLO5 What is a packetQu.docxaulasnilda
This document contains a series of questions and feedback from an exam on information systems topics. It discusses firewalls, databases, authentication methods, competitive advantages, software quality triangles, trademarks, and other concepts. The feedback indicates some multiple choice questions were missed and to review for the next test.
This document discusses online surveys, including when to conduct them, best practices for development, advantages, and disadvantages. Some key points covered include that online surveys can be used at different stages of development to understand users and gather feedback. They should be brief, clearly indicate progress, and include a mix of open and closed-ended questions. While price and accessibility are advantages, biases can occur if distribution channels are not carefully chosen and engagement tends to drop off after 10 minutes.
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...GISRUK conference
This study examined trust perceptions of non-expert users interacting with the Environment Agency's "What's In Your Back Yard" (WIYBY) web GIS application. 10 participants completed tasks and questionnaires about the site. Most tasks failed and users found the site difficult to use, but they still trusted the information despite perceiving a lack of transparency. The results suggest functional attributes like maps may be less important than perceptual attributes in influencing trust of web GIS systems. Future work will test redesigned interfaces to understand how to build trust through design.
Data migrations can look like deceivingly straightforward efforts when in fact they are risky undertakings. This presentation shares what many data practitioners and project managers see as the #1 success factor for data migration projects. Become a data migration hero by paying attention to this simple yet highly effective recommendation.
Four major causes of difficulty in gathering system requirement and business requirements, Reasons projects were
abandoned.Three Generations of System Development:1. Direct Contact 2. Business Analyst 3.Team Based.
Using Complex Event Processing for Modeling Semantic Requests in Real-Time So...dominikriemer
This document discusses using semantic requests to model complex event processing patterns for real-time social media monitoring. It presents use cases for proactive marketing and real-time spinning. The system architecture employs distributed complex event processing with semantic requests to define patterns using domain knowledge. Semantic requests simplify pattern definition by making use of an ontology and background knowledge. They are translated to non-semantic queries for processing. The approach was prototyped and future work could enhance patterns with importance based on related technical or financial topics.
1. The document proposes techniques to improve search performance by matching schemas between structured and unstructured data sources.
2. It involves constructing schema mappings using named entities and schema structures. It also uses strategies to narrow the search space to relevant documents.
3. The techniques were shown to improve search accuracy and reduce time/space complexity compared to existing methods.
19Question 1 4 4 pointsLO5 What is a packetQu.docxaulasnilda
This document contains a series of questions and feedback from an exam on information systems topics. It discusses firewalls, databases, authentication methods, competitive advantages, software quality triangles, trademarks, and other concepts. The feedback indicates some multiple choice questions were missed and to review for the next test.
The document proposes a Requirement Opinions Mining Method (ROM) to mine user requirements from software review data. It first defines requirement opinions, functional requirement opinions, and non-functional requirement opinions. It then uses deep learning models to classify reviews into functional and non-functional categories. Functional reviews are further classified into three categories and sequence labeling is used to identify functional requirements. Non-functional reviews are clustered using K-means clustering with word vectors. Finally, specific requirements are extracted from the clusters using TF-IDF and syntactic analysis to realize requirement opinion mining from software review data. A case study is conducted on reviews from a Chinese mobile application platform.
Mastering Data Engineering: Common Data Engineer Interview Questions You Shou...FredReynolds2
Whether you’re a beginner to big data looking for a Data Engineering employment or an experienced Data Engineer looking for new options, preparing for an upcoming interview can be frightening. Given the market’s competitiveness, you must be well-prepared for your interview. Moreover, Interviewing for any position can be nerve-wracking. Data engineer positions in the technology industry can be highly competitive. Numerous individuals are drawn to these professions because they are in high demand, pay well, and have positive long-term job growth.
Doing Analytics Right - Building the Analytics EnvironmentTasktop
Implementing analytics for development processes is challenging. As in discussed in the previous webinars, the right analytics are determined by the goals of the organization, not by the available data. So implementing your analytics solutions will require an efficient analytics and data architecture, including the ability to combine and stage data from heterogeneous sources. An architecture that excludes the ability to gain access to the necessary data will create a barrier to deploying your newly designed analytics program, and will force you back into the “light is brighter here” anti-pattern.
This webinar will describe the technical considerations of implementing the data architecture for your analytics program, and explain how Tasktop can help.
This document summarizes an individual project report for an online banking system. The project involved designing and developing a web application to demonstrate skills in web development, database design, and user interaction. Key aspects included using the Laravel framework with PHP for the backend and a MySQL database. Testing was conducted to identify flaws. The project aimed to gain experience in areas like requirements gathering, design, implementation, and testing of a full-stack web application. Overall, the author was happy with meeting the goals of the project to showcase their technical abilities.
Appendix AProof of effectiveness of some of the agile methods us.docxarmitageclaire49
Appendix A
Proof of effectiveness of some of the agile methods used to develop systems requirements
In all software development methodologies, the process of collecting, understanding and managing all requirements for a system is a crucial process in software development. Similar to all this other methods, agile methods are not exceptional. Most agile method handle requirements in order to implement them as much accurately as possible to satisfy all the customer demands. This is usually achieved by maintaining a continuous interaction with the customers to address their needs according to priority and functionalities. In this appendix, we shall be focusing on continuous process of improving the development process.
Some agile methods include the following
1. eXtreme Programming (XP) – it improves a software project in communication, simplicity, feedback and courage.
2. scrum- this is an agile, iterative and incremental method which takes care of all changes that may come across in the life-cycle of the project. Basically, it adds energy, focus and clarity to development teams. Its major aim is ot see the whole system being a successful product.
3. Dynamic system, development method (DSDM)
4. Adaptive software development (ASD)- this is a development process that is a product of rapid application development. It has four phases of communication and planning, analysis, testing & deployment and design and deployment.
5. the crystal family
Due to availability of these various methods, the potential adopters may experience a challenge of determining what to apply on its own and therefore there was need to define a document containing all the necessary values and common qualities to be used across all agile methods. This document is the Agile Manifesto and focuses mainly on human interactivity and processes management.
1. Individual and interaction over various processes and tasks. Usually the agile process will focus more on people and their interactivity but not on the structural processes and tools.
2. Working software and documentation. Main objective of the developers is actually delivering a functional code which will always add value to our users. Well documented code is always self-documented.
3. Responding to change over planning. Here developers are required to respond very fast to the requirements variations. Time used in planning is minimal compared to what our users actually requires.
4. Customer collaboration over contracts. The mutual relationship of the developers and susers of our system is monitored and regulated through engaging the customer in the development process.
The figure below shows the steps in agile methodologies which focus on an iteration and adaptable change.
5.
Tools needed for requirement management in agile methods of system development.
1. The most popular tools in agile methods include paper, pencil a drawing pin board. If we consider eXtreme programming requirements are obtained from user stories which ar.
Web Content Mining Based on Dom Intersection and Visual Features Conceptijceronline
Structured Data extraction from deep Web pages is a challenging task due to the underlying complex structures of such pages. Also website developer generally follows different web page design technique. Data extraction from webpage is highly useful to build our own database from number applications. A large number of techniques have been proposed to address this problem, but all of them have inherent limitations because they present different limitations and constraints for extracting data from such webpages. This paper presents two different approaches to get structured data extraction. The first approach is non-generic solution which is based on template detection using intersection of Document Object Model Tree of various webpages from the same website. This approach is giving better result in terms of efficiency and accurately locating the main data at the particular webpage. The second approach is based on partial tree alignment mechanism based on using important visual features such as length, size, and position of web table available on the webpages. This approach is a generic solution as it does not depend on one particular website and its webpage template. It is perfectly locating the multiple data regions, data records and data items within a given web page. We have compared our work's result with existing mechanism and found our result much better for number webpage
SD West 2008: Call the requirements police, you've entered design!Alan Bustamante
The document discusses best practices for separating requirements and design, as including too much design detail in requirements documentation can lead to increased rework, unrealistic customer expectations, and unnecessary constraints on developers, and it provides recommendations such as using control-agnostic use cases and defining data elements in a shared glossary rather than within use cases.
This document discusses data mining applications in the telecommunications industry. It begins with an overview of the data mining process and definitions. It then describes the types of data generated by telecommunications companies, including call detail data, network data, and customer data. The document outlines several common data mining applications for telecommunications companies, including fraud detection, marketing/customer profiling, and network fault isolation. Specific examples within marketing like customer churn and insolvency prediction are also mentioned.
The document summarizes the discussion topics from an RTA Communications Group meeting on March 27, 2012. The main discussion topics included instant messaging, a Yahoo Answers-like Q&A system, working from home or away from one's desk, email, RTA calendars, and the RTA website project. Pros and cons of instant messaging were noted. Questions about working remotely and using mobile devices were invited. The new RTA website was mentioned as going live soon. Attendees were asked to provide feedback on what has and hasn't worked with the RTA calendars.
Cloudera Data Science Challenge 3 Solution by Doug NeedhamDoug Needham
The document outlines the requirements and problems for Cloudera's Data Science certification challenge. It requires completing a test, and solving 3 problems involving flight delay prediction using machine learning, web analytics using statistical analysis, and recommending social media connections using graph analysis. Solutions are scored based on accuracy and a written abstract explaining the methodology.
Web Information Network Extraction and AnalysisTim Weninger
Tim Weninger presents a tutorial on information network analysis and extraction from the semi-structured web. The tutorial covers preliminaries on information extraction and integration from web pages and social networks. It also discusses ranking, clustering, and analyzing the structure and content of information on the web.
What is Web Scraping and What is it Used For? | Definition and Examples EXPLAINED
For More details Visit - https://hirinfotech.com
About Web scraping for Beginners - Introduction, Definition, Application and Best Practice in Deep Explained
What is Web Scraping or Crawling? and What it is used for? Complete introduction video.
Web Scraping is widely used today from small organizations to Fortune 500 companies. A wide range of applications of web scraping a few of them are listed here.
1. Lead Generation and Marketing Purpose
2. Product and Brand Monitoring
3. Brand or Product Market Reputation Analysis
4. Opening Mining and Sentimental Analysis
5. Gathering data for machine learning
6. Competitor Analysis
7. Finance and Stock Market Data analysis
8. Price Comparison for Product or Service
9. Building a product catalog
10. Fueling Job boards with Job listings
11. MAP compliance monitoring
12. Social media Monitor and Analysis
13. Content and News monitoring
14. Scrape search engine results for SEO monitoring
15. Business-specific application
------------
Basics of web scraping using python
Python Scraping Library
Répondre à la question automatique avec le webAhmed Hammami
This document summarizes an automatic question answering system that goes beyond answering simple factual questions. The system is trained on a corpus of 1 million question/answer pairs collected from frequently asked question pages on the web. It uses statistical models like a question chunker, answer/question translation model, and answer language model. The evaluation shows the system achieves reasonable performance on a variety of complex, non-factual questions by leveraging large web collections to find answers rather than assuming answers are short facts.
This document summarizes a webinar on developing a SharePoint strategy. It provided an overview of SharePoint capabilities for collaboration, portals, enterprise search, content management, and business processes. It emphasized that simply deploying SharePoint without a strategy can result in disconnected information silos that are difficult to manage. The webinar outlined key steps to developing a SharePoint strategy, including defining processes and audiences, auditing content sources, creating use cases, and evaluating technology options. It stressed the importance of aligning any SharePoint deployment with organizational goals, processes, and information needs.
Discussion Board 1 – 2 Within the Discussion Board area, write 4LyndonPelletier761
Discussion Board 1 – 2
Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
The architecture of Web 1.0 consists of following three components (Jacobs & Walsh, 2004):
· Web resources identification: Uniform Resource Identifier (URI)
· Interaction protocol: HyperText Transfer Protocol (HTTP)
· Data formats: HyperText Markup Language (HTML)
Over the last 25 years, the Web has experienced several evolutions, which have been called Web 1.0, Web 2.0, Web 3.0, Web 4.0, and Web 5.0. Each of the evolutions has brought in more types of data sources, along with more advanced functional capability to the Internet infrastructure to make the Web the central place to see the convergence of many existing and new technologies. These new capabilities, in turn, support many new innovative business processes and practice through the Web. Therefore, it is important to know the basic concepts and applications of the Web, starting from its first generation. Knowing the root of the Web technology will help you to understand the reasons and consequences of the current and future changes to the Web technology, as well as the challenges of accessing the ever-growing Web data.
Complete the reading assignment, and search the Library and Internet to find and study at least 2 more references that discuss the concepts and applications of the Web. Based on the results of your research, discuss the following questions:
· What role has each of the 3 components of the architecture of Web 1.0 (URI, HTTP, and HTML) played in making the Web one of the main sources of ever-growing big data?
· What will be the trend in terms of "performance bottleneck" to access large-scale Web data as the Web technology evolves?
· Justify your point of view, and provide examples as necessary.
Unit 2 - 1
Primary Task Response: Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
As the core component of Web 4.0, the Internet of Things (IoT) has become a reality after many years of development. Distinct from all previous generations of the Web where all the data are generated by people, the Web 4.0 data are generated by both human and embedded computing devices (Atzori, 2010). The number of sources for the Web data have greatly increased because multibillions of uniquely identifiable embedded computing devices are connected through the Internet infrastructure and various types of wireless networks. Because most of IoT devices only have limited computing resources, they play the role of raw data collector and initial data preprocessor. These devices have to send t ...
Survey Based Reviewof Elicitation ProblemsIJERA Editor
Any software development process is the combination of multiple development activities and each activity has a
vital role in the software development cycle. Requirement Engineering is the main and basic branch of Software
Engineering, it has many phases but the most initial phase is Requirement Elicitation. In this phase requirements
are gathered for system development.
This paper provides a literature review of the requirements engineering processes performed in traditional and
modern development processes and analyses the problems in the requirements elicitation phase. This problem
analysis is based on a survey which was conducted in University. A questionnaire posing questions regarding
the problems in requirement elicitation was given to final year computer science graduate students who are
working on their final year project as a requirement for their degree. The theoretical analysis of the
questionnaire further clarifies the problems. This problems analysis will help to find out the main problems
which are faced by the perspective software developers
5- What is system development- List and define five phases of System D.docxdannyn2
5. What is system development? List and define five phases of System Development Life Cycle.
6. Servers provide services, such as email, Web sites, large and shared databases, and some provide all of these functions. True or False?
8. What is Brook
Solution
5.
The systems development life cycle (SDLC) is the traditional process used to develop information systems and applications. The SDLC development process is sequential.
SDLC describes the stages that are used in project management from developing an application to its establishment. SDLC uses the following steps:
1. Software concept:
Ideally, the process occurs in tandem with a review of the organization\'s strategic plan and objectives. It is to identify a need for the new system. This will include determining whether a business problem or opportunity exists, conducting a feasibility study to determine if the proposed solution is cost effective, and developing a project plan.
2. Requirement Analysis:
Analyzing the information needs, the organizational environment, and any system presently being used to meet the functional requirements of a system are analyzed in this phase. Developing project aligns with user needs and requirements.
3. Architectural design:
The necessary specifications for the hardware, software, people, and data resources, and the information products that will satisfy the functional requirements of the proposed system can be determined. The design will serve as a blueprint for the system and helps detect problems before these errors or problems are built into the final system.
4. Coding and Debugging: Act of creates the final system with code.
5. System Testing: To evaluate its actual functionality in relation to expected or intended functionality.
6.
False
All the functions of SDLC are not provided by email, web sites, large and shared databases.
7.
Brook law is a claim wherein adding manpower to the late software projects increases the completion time and delays it.
Three reasons why IT projects fail are as follows:
Three reasons why IT projects are successful are as follows:
.
Model driven development and code generation of software systemsMarco Brambilla
Marco Brambilla discusses his research in model-driven development and code generation of software systems. His research path has included topics like business processes, semantic web, web services, and crowdsourcing. More recently, he has focused on model-driven approaches to develop crowd-based applications using a framework called CrowdSearcher. CrowdSearcher uses model-driven engineering principles to design, deploy, and control crowd-based systems through declarative specifications.
Dynamic query forms for database queries
Modern scientific databases and web databases maintain large and heterogeneous data. These real-world databases contain over hundreds or even thousands of relations and attributes. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. This work proposes DQF, a novel database query form interface, which is able to dynamically generate query forms
This is a presentation I use to using get people to be aware of the potential of the semantic web. It has a section on how to promote semantic web standards. I do some strategic analysis of the Semantic Web stack today and apply concepts from technology marketing, economics and technology adoption.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
The document proposes a Requirement Opinions Mining Method (ROM) to mine user requirements from software review data. It first defines requirement opinions, functional requirement opinions, and non-functional requirement opinions. It then uses deep learning models to classify reviews into functional and non-functional categories. Functional reviews are further classified into three categories and sequence labeling is used to identify functional requirements. Non-functional reviews are clustered using K-means clustering with word vectors. Finally, specific requirements are extracted from the clusters using TF-IDF and syntactic analysis to realize requirement opinion mining from software review data. A case study is conducted on reviews from a Chinese mobile application platform.
Mastering Data Engineering: Common Data Engineer Interview Questions You Shou...FredReynolds2
Whether you’re a beginner to big data looking for a Data Engineering employment or an experienced Data Engineer looking for new options, preparing for an upcoming interview can be frightening. Given the market’s competitiveness, you must be well-prepared for your interview. Moreover, Interviewing for any position can be nerve-wracking. Data engineer positions in the technology industry can be highly competitive. Numerous individuals are drawn to these professions because they are in high demand, pay well, and have positive long-term job growth.
Doing Analytics Right - Building the Analytics EnvironmentTasktop
Implementing analytics for development processes is challenging. As in discussed in the previous webinars, the right analytics are determined by the goals of the organization, not by the available data. So implementing your analytics solutions will require an efficient analytics and data architecture, including the ability to combine and stage data from heterogeneous sources. An architecture that excludes the ability to gain access to the necessary data will create a barrier to deploying your newly designed analytics program, and will force you back into the “light is brighter here” anti-pattern.
This webinar will describe the technical considerations of implementing the data architecture for your analytics program, and explain how Tasktop can help.
This document summarizes an individual project report for an online banking system. The project involved designing and developing a web application to demonstrate skills in web development, database design, and user interaction. Key aspects included using the Laravel framework with PHP for the backend and a MySQL database. Testing was conducted to identify flaws. The project aimed to gain experience in areas like requirements gathering, design, implementation, and testing of a full-stack web application. Overall, the author was happy with meeting the goals of the project to showcase their technical abilities.
Appendix AProof of effectiveness of some of the agile methods us.docxarmitageclaire49
Appendix A
Proof of effectiveness of some of the agile methods used to develop systems requirements
In all software development methodologies, the process of collecting, understanding and managing all requirements for a system is a crucial process in software development. Similar to all this other methods, agile methods are not exceptional. Most agile method handle requirements in order to implement them as much accurately as possible to satisfy all the customer demands. This is usually achieved by maintaining a continuous interaction with the customers to address their needs according to priority and functionalities. In this appendix, we shall be focusing on continuous process of improving the development process.
Some agile methods include the following
1. eXtreme Programming (XP) – it improves a software project in communication, simplicity, feedback and courage.
2. scrum- this is an agile, iterative and incremental method which takes care of all changes that may come across in the life-cycle of the project. Basically, it adds energy, focus and clarity to development teams. Its major aim is ot see the whole system being a successful product.
3. Dynamic system, development method (DSDM)
4. Adaptive software development (ASD)- this is a development process that is a product of rapid application development. It has four phases of communication and planning, analysis, testing & deployment and design and deployment.
5. the crystal family
Due to availability of these various methods, the potential adopters may experience a challenge of determining what to apply on its own and therefore there was need to define a document containing all the necessary values and common qualities to be used across all agile methods. This document is the Agile Manifesto and focuses mainly on human interactivity and processes management.
1. Individual and interaction over various processes and tasks. Usually the agile process will focus more on people and their interactivity but not on the structural processes and tools.
2. Working software and documentation. Main objective of the developers is actually delivering a functional code which will always add value to our users. Well documented code is always self-documented.
3. Responding to change over planning. Here developers are required to respond very fast to the requirements variations. Time used in planning is minimal compared to what our users actually requires.
4. Customer collaboration over contracts. The mutual relationship of the developers and susers of our system is monitored and regulated through engaging the customer in the development process.
The figure below shows the steps in agile methodologies which focus on an iteration and adaptable change.
5.
Tools needed for requirement management in agile methods of system development.
1. The most popular tools in agile methods include paper, pencil a drawing pin board. If we consider eXtreme programming requirements are obtained from user stories which ar.
Web Content Mining Based on Dom Intersection and Visual Features Conceptijceronline
Structured Data extraction from deep Web pages is a challenging task due to the underlying complex structures of such pages. Also website developer generally follows different web page design technique. Data extraction from webpage is highly useful to build our own database from number applications. A large number of techniques have been proposed to address this problem, but all of them have inherent limitations because they present different limitations and constraints for extracting data from such webpages. This paper presents two different approaches to get structured data extraction. The first approach is non-generic solution which is based on template detection using intersection of Document Object Model Tree of various webpages from the same website. This approach is giving better result in terms of efficiency and accurately locating the main data at the particular webpage. The second approach is based on partial tree alignment mechanism based on using important visual features such as length, size, and position of web table available on the webpages. This approach is a generic solution as it does not depend on one particular website and its webpage template. It is perfectly locating the multiple data regions, data records and data items within a given web page. We have compared our work's result with existing mechanism and found our result much better for number webpage
SD West 2008: Call the requirements police, you've entered design!Alan Bustamante
The document discusses best practices for separating requirements and design, as including too much design detail in requirements documentation can lead to increased rework, unrealistic customer expectations, and unnecessary constraints on developers, and it provides recommendations such as using control-agnostic use cases and defining data elements in a shared glossary rather than within use cases.
This document discusses data mining applications in the telecommunications industry. It begins with an overview of the data mining process and definitions. It then describes the types of data generated by telecommunications companies, including call detail data, network data, and customer data. The document outlines several common data mining applications for telecommunications companies, including fraud detection, marketing/customer profiling, and network fault isolation. Specific examples within marketing like customer churn and insolvency prediction are also mentioned.
The document summarizes the discussion topics from an RTA Communications Group meeting on March 27, 2012. The main discussion topics included instant messaging, a Yahoo Answers-like Q&A system, working from home or away from one's desk, email, RTA calendars, and the RTA website project. Pros and cons of instant messaging were noted. Questions about working remotely and using mobile devices were invited. The new RTA website was mentioned as going live soon. Attendees were asked to provide feedback on what has and hasn't worked with the RTA calendars.
Cloudera Data Science Challenge 3 Solution by Doug NeedhamDoug Needham
The document outlines the requirements and problems for Cloudera's Data Science certification challenge. It requires completing a test, and solving 3 problems involving flight delay prediction using machine learning, web analytics using statistical analysis, and recommending social media connections using graph analysis. Solutions are scored based on accuracy and a written abstract explaining the methodology.
Web Information Network Extraction and AnalysisTim Weninger
Tim Weninger presents a tutorial on information network analysis and extraction from the semi-structured web. The tutorial covers preliminaries on information extraction and integration from web pages and social networks. It also discusses ranking, clustering, and analyzing the structure and content of information on the web.
What is Web Scraping and What is it Used For? | Definition and Examples EXPLAINED
For More details Visit - https://hirinfotech.com
About Web scraping for Beginners - Introduction, Definition, Application and Best Practice in Deep Explained
What is Web Scraping or Crawling? and What it is used for? Complete introduction video.
Web Scraping is widely used today from small organizations to Fortune 500 companies. A wide range of applications of web scraping a few of them are listed here.
1. Lead Generation and Marketing Purpose
2. Product and Brand Monitoring
3. Brand or Product Market Reputation Analysis
4. Opening Mining and Sentimental Analysis
5. Gathering data for machine learning
6. Competitor Analysis
7. Finance and Stock Market Data analysis
8. Price Comparison for Product or Service
9. Building a product catalog
10. Fueling Job boards with Job listings
11. MAP compliance monitoring
12. Social media Monitor and Analysis
13. Content and News monitoring
14. Scrape search engine results for SEO monitoring
15. Business-specific application
------------
Basics of web scraping using python
Python Scraping Library
Répondre à la question automatique avec le webAhmed Hammami
This document summarizes an automatic question answering system that goes beyond answering simple factual questions. The system is trained on a corpus of 1 million question/answer pairs collected from frequently asked question pages on the web. It uses statistical models like a question chunker, answer/question translation model, and answer language model. The evaluation shows the system achieves reasonable performance on a variety of complex, non-factual questions by leveraging large web collections to find answers rather than assuming answers are short facts.
This document summarizes a webinar on developing a SharePoint strategy. It provided an overview of SharePoint capabilities for collaboration, portals, enterprise search, content management, and business processes. It emphasized that simply deploying SharePoint without a strategy can result in disconnected information silos that are difficult to manage. The webinar outlined key steps to developing a SharePoint strategy, including defining processes and audiences, auditing content sources, creating use cases, and evaluating technology options. It stressed the importance of aligning any SharePoint deployment with organizational goals, processes, and information needs.
Discussion Board 1 – 2 Within the Discussion Board area, write 4LyndonPelletier761
Discussion Board 1 – 2
Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
The architecture of Web 1.0 consists of following three components (Jacobs & Walsh, 2004):
· Web resources identification: Uniform Resource Identifier (URI)
· Interaction protocol: HyperText Transfer Protocol (HTTP)
· Data formats: HyperText Markup Language (HTML)
Over the last 25 years, the Web has experienced several evolutions, which have been called Web 1.0, Web 2.0, Web 3.0, Web 4.0, and Web 5.0. Each of the evolutions has brought in more types of data sources, along with more advanced functional capability to the Internet infrastructure to make the Web the central place to see the convergence of many existing and new technologies. These new capabilities, in turn, support many new innovative business processes and practice through the Web. Therefore, it is important to know the basic concepts and applications of the Web, starting from its first generation. Knowing the root of the Web technology will help you to understand the reasons and consequences of the current and future changes to the Web technology, as well as the challenges of accessing the ever-growing Web data.
Complete the reading assignment, and search the Library and Internet to find and study at least 2 more references that discuss the concepts and applications of the Web. Based on the results of your research, discuss the following questions:
· What role has each of the 3 components of the architecture of Web 1.0 (URI, HTTP, and HTML) played in making the Web one of the main sources of ever-growing big data?
· What will be the trend in terms of "performance bottleneck" to access large-scale Web data as the Web technology evolves?
· Justify your point of view, and provide examples as necessary.
Unit 2 - 1
Primary Task Response: Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
As the core component of Web 4.0, the Internet of Things (IoT) has become a reality after many years of development. Distinct from all previous generations of the Web where all the data are generated by people, the Web 4.0 data are generated by both human and embedded computing devices (Atzori, 2010). The number of sources for the Web data have greatly increased because multibillions of uniquely identifiable embedded computing devices are connected through the Internet infrastructure and various types of wireless networks. Because most of IoT devices only have limited computing resources, they play the role of raw data collector and initial data preprocessor. These devices have to send t ...
Survey Based Reviewof Elicitation ProblemsIJERA Editor
Any software development process is the combination of multiple development activities and each activity has a
vital role in the software development cycle. Requirement Engineering is the main and basic branch of Software
Engineering, it has many phases but the most initial phase is Requirement Elicitation. In this phase requirements
are gathered for system development.
This paper provides a literature review of the requirements engineering processes performed in traditional and
modern development processes and analyses the problems in the requirements elicitation phase. This problem
analysis is based on a survey which was conducted in University. A questionnaire posing questions regarding
the problems in requirement elicitation was given to final year computer science graduate students who are
working on their final year project as a requirement for their degree. The theoretical analysis of the
questionnaire further clarifies the problems. This problems analysis will help to find out the main problems
which are faced by the perspective software developers
5- What is system development- List and define five phases of System D.docxdannyn2
5. What is system development? List and define five phases of System Development Life Cycle.
6. Servers provide services, such as email, Web sites, large and shared databases, and some provide all of these functions. True or False?
8. What is Brook
Solution
5.
The systems development life cycle (SDLC) is the traditional process used to develop information systems and applications. The SDLC development process is sequential.
SDLC describes the stages that are used in project management from developing an application to its establishment. SDLC uses the following steps:
1. Software concept:
Ideally, the process occurs in tandem with a review of the organization\'s strategic plan and objectives. It is to identify a need for the new system. This will include determining whether a business problem or opportunity exists, conducting a feasibility study to determine if the proposed solution is cost effective, and developing a project plan.
2. Requirement Analysis:
Analyzing the information needs, the organizational environment, and any system presently being used to meet the functional requirements of a system are analyzed in this phase. Developing project aligns with user needs and requirements.
3. Architectural design:
The necessary specifications for the hardware, software, people, and data resources, and the information products that will satisfy the functional requirements of the proposed system can be determined. The design will serve as a blueprint for the system and helps detect problems before these errors or problems are built into the final system.
4. Coding and Debugging: Act of creates the final system with code.
5. System Testing: To evaluate its actual functionality in relation to expected or intended functionality.
6.
False
All the functions of SDLC are not provided by email, web sites, large and shared databases.
7.
Brook law is a claim wherein adding manpower to the late software projects increases the completion time and delays it.
Three reasons why IT projects fail are as follows:
Three reasons why IT projects are successful are as follows:
.
Model driven development and code generation of software systemsMarco Brambilla
Marco Brambilla discusses his research in model-driven development and code generation of software systems. His research path has included topics like business processes, semantic web, web services, and crowdsourcing. More recently, he has focused on model-driven approaches to develop crowd-based applications using a framework called CrowdSearcher. CrowdSearcher uses model-driven engineering principles to design, deploy, and control crowd-based systems through declarative specifications.
Dynamic query forms for database queries
Modern scientific databases and web databases maintain large and heterogeneous data. These real-world databases contain over hundreds or even thousands of relations and attributes. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. This work proposes DQF, a novel database query form interface, which is able to dynamically generate query forms
This is a presentation I use to using get people to be aware of the potential of the semantic web. It has a section on how to promote semantic web standards. I do some strategic analysis of the Semantic Web stack today and apply concepts from technology marketing, economics and technology adoption.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses preventing private information inference attacks on social networks. It explores how released social networking data could be used to predict undisclosed private information about individuals, such as their political affiliation or sexual orientation. It then describes three sanitization techniques that could be used to decrease the effectiveness of such attacks. An experiment is conducted applying these techniques to a Facebook dataset to attempt to discover sensitive attributes through collective inference and show that the sanitization methods decrease the effectiveness of local and relational classification algorithms.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Thesis Statement for students diagnonsed withADHD.ppt
21
1. Impulse Technologies
Beacons U to World of technology
044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
Pre-Query Discovery of Domain-specific Query Forms: A Survey
Abstract
The discovery of HTML query forms is one of the main challenges in Deep
Web crawling. Automatic solutions for this problem perform two main tasks. The
first is locating HTML forms on the Web, which is done through the use of
traditional/focused crawlers. The second is identifying which of these forms are
indeed meant for querying, which also typically involves determining a domain for
the underlying data source (and thus for the form as well). This problem has
attracted a great deal of interest, resulting in a long list of algorithms and
techniques. Some of these submit requests through the form and then analyze the
data retrieved in response, typically requiring a great deal of knowledge about the
domain as well as semantic processing. Others do not employ form submission, to
avoid such difficulties, although some techniques rely to some extent on semantics
and domain knowledge. This survey gives an up-to-date review of methods for the
discovery of domain-specific query forms that do not involve form submission. We
detail these methods and discuss how form discovery has become increasingly
more automated over time. We conclude with a forecast of what we believe are the
immediate next steps in this trend.
Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
1