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Web Searching and Mining

Author : Debajyoti Mukhopadhyay

Publisher : Springer

Page : 166 pages

File Size : 48,83 MB

Release : 2019-02-04

Category : Computers

ISBN : 9789811330520

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Book Description

This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.



Web Data Mining

Author : Bing Liu

Publisher : Springer Science & Business Media

Page : 637 pages

File Size : 33,76 MB

Release : 2011-06-25

Category : Computers

ISBN : 3642194605

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Book Description

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.



Mining the World Wide Web

Author : George Chang

Publisher : Springer Science & Business Media

Page : 192 pages

File Size : 10,65 MB

Release : 2001-07-31

Category : Computers

ISBN : 9780792373490

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Book Description

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.



Mining the Web

Author : Soumen Chakrabarti

Publisher : Morgan Kaufmann

Page : 366 pages

File Size : 30,73 MB

Release : 2002-10-09

Category : Computers

ISBN : 1558607544

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Book Description

The definitive book on mining the Web from the preeminent authority.



Data Mining the Web

Author : Zdravko Markov

Publisher : John Wiley & Sons

Page : 236 pages

File Size : 42,82 MB

Release : 2007-04-06

Category : Computers

ISBN : 0470108088

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Book Description

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).



Web Mining

Author : Anthony Scime

Publisher : IGI Global

Page : 454 pages

File Size : 17,86 MB

Release : 2005-01-01

Category : Computers

ISBN : 9781591404149

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Book Description

Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.



Advances in Network Security and Applications

Author : David C. Wyld

Publisher : Springer Science & Business Media

Page : 677 pages

File Size : 23,33 MB

Release : 2011-06-30

Category : Computers

ISBN : 364222539X

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Book Description

This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.



Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Author : Bhavani Thuraisingham

Publisher : CRC Press

Page : 542 pages

File Size : 35,65 MB

Release : 2003-06-26

Category : Business & Economics

ISBN : 0203499514

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Book Description

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta



Web Usage Mining Techniques and Applications Across Industries

Author : Kumar, A.V. Senthil

Publisher : IGI Global

Page : 448 pages

File Size : 31,19 MB

Release : 2016-08-12

Category : Computers

ISBN : 1522506144

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Book Description

Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.



Mining Social Media

Author : Lam Thuy Vo

Publisher : No Starch Press

Page : 210 pages

File Size : 43,24 MB

Release : 2019-11-25

Category : Computers

ISBN : 1593279167

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Book Description

BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.