Web Data Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 3642194605
Total Pages : 637 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Web Data Mining by : Bing Liu

Download or read book Web Data Mining written by Bing Liu and published by Springer Science & Business Media. This book was released on 2011-06-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Web

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Publisher : Morgan Kaufmann
ISBN 13 : 1558607544
Total Pages : 366 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2002-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Mining the World Wide Web

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Publisher : Springer Science & Business Media
ISBN 13 : 1461516390
Total Pages : 180 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Mining the World Wide Web by : George Chang

Download or read book Mining the World Wide Web written by George Chang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining the Web

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Publisher : John Wiley & Sons
ISBN 13 : 0470108088
Total Pages : 236 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Data Mining the Web by : Zdravko Markov

Download or read book Data Mining the Web written by Zdravko Markov and published by John Wiley & Sons. This book was released on 2007-04-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Data Mining and Applications in Business Intelligence and Counter-Terrorism

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Publisher : CRC Press
ISBN 13 : 0203499514
Total Pages : 542 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Web Data Mining and Applications in Business Intelligence and Counter-Terrorism by : Bhavani Thuraisingham

Download or read book Web Data Mining and Applications in Business Intelligence and Counter-Terrorism written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2003-06-26 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mining the Social Web

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449388345
Total Pages : 356 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Mining the Social Web by : Matthew Russell

Download or read book Mining the Social Web written by Matthew Russell and published by "O'Reilly Media, Inc.". This book was released on 2011-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Web Mining and Social Networking

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Publisher : Springer Science & Business Media
ISBN 13 : 144197735X
Total Pages : 218 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Web Mining and Social Networking by : Guandong Xu

Download or read book Web Mining and Social Networking written by Guandong Xu and published by Springer Science & Business Media. This book was released on 2010-10-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Web Mining

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Publisher : IGI Global
ISBN 13 : 9781591404149
Total Pages : 454 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis Web Mining by : Anthony Scime

Download or read book Web Mining written by Anthony Scime and published by IGI Global. This book was released on 2005-01-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mining the Social Web

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Publisher : O'Reilly Media
ISBN 13 : 1491973528
Total Pages : 425 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Mining the Social Web by : Matthew A. Russell

Download or read book Mining the Social Web written by Matthew A. Russell and published by O'Reilly Media. This book was released on 2018-12-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits

Web Mining: From Web to Semantic Web

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Publisher : Springer Science & Business Media
ISBN 13 : 3540232583
Total Pages : 210 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Web Mining: From Web to Semantic Web by : Bettina Berendt

Download or read book Web Mining: From Web to Semantic Web written by Bettina Berendt and published by Springer Science & Business Media. This book was released on 2004-09-23 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book originates from the first European Web Mining Forum, EWMF 2003, held in Cavtat-Dubrovnik, Croatia, in September 2003 in association with ECML/PKDD 2003. The Web Mining Forum initiative is motivated by the insight that knowledge discovery on the Web, from the viewpoint of hyperarchive analysis, and, from the viewpoint of interaction among persons and institutions, are complementary, both for the conventional Web and for the Semantic Web. This book presents an introductory roadmap paper, four invited papers and six workshop papers, which were carefully selected during two rounds of reviewing and improvement. Among the topics addressed are Web usage mining, Web mining for the addition of semantics, semantically enhanced Web filtering, ontologies, wrapper induction, Web personalization, user profiling, user session evaluation, and evolution of Web usage patterns.