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Author: David Taniar
Publisher: IGI Global
Published: 2004-01-01
Total Pages: 394
ISBN-13: 9781591402084
DOWNLOAD EBOOKThe era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.
Author: George Chang
Publisher: Springer Science & Business Media
Published: 2001-07-31
Total Pages: 192
ISBN-13: 9780792373490
DOWNLOAD EBOOKMining 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.
Author: Zhiguo Gong
Publisher: Springer
Published: 2011-09-25
Total Pages: 468
ISBN-13: 3642239714
DOWNLOAD EBOOKThe two-volume set LNCS 6987 and LNCS 6988 constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2011, held in Taiyuan, China, in September 2011. The 112 revised full papers presented were carefully reviewed and selected from 472 submissions. The first volume includes 56 papers organized in the following topical sections: applications on Web information systems; applications of Web mining; distributed systems; e-government and e-commerce; geographic information systems; information security; and intelligent networked systems.
Author: Liu Wenyin
Publisher: Springer Science & Business Media
Published: 2009-10-26
Total Pages: 614
ISBN-13: 3642052495
DOWNLOAD EBOOKResearchers and professionals
Author: Bing Liu
Publisher: Springer Science & Business Media
Published: 2011-06-25
Total Pages: 637
ISBN-13: 3642194605
DOWNLOAD EBOOKLiu 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.
Author: Soumen Chakrabarti
Publisher: Morgan Kaufmann
Published: 2002-10-09
Total Pages: 366
ISBN-13: 1558607544
DOWNLOAD EBOOKThe definitive book on mining the Web from the preeminent authority.
Author: Valérie Monfort
Publisher: Springer
Published: 2015-12-16
Total Pages: 0
ISBN-13: 9783319270296
DOWNLOAD EBOOKThis book constitutes revised selected papers from the 10th International Conference on Web Information Systems and Technologies, WEBIST 2014, held in Barcelona, Spain, April 2014, organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and technically sponsored by the European Research Center for Information Systems (ERCIS). The purpose of the WEBIST series of conferences is to bring together researches, engineers and practitioners interested in technological advances and business applications of web-based information systems. The 21 papers presented in this volume were carefully reviewed and selected originally 153 paper submissions. They were organized in topical sections names, internet technology; web interfaces and applications; society, e-business and e-government; web intelligence; and mobile information systems. The book also contains two invited talks in full-paper length.
Author: Anthony Scime
Publisher: IGI Global
Published: 2005-01-01
Total Pages: 454
ISBN-13: 9781591404149
DOWNLOAD EBOOKWeb 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.
Author: Zdravko Markov
Publisher: John Wiley & Sons
Published: 2007-04-06
Total Pages: 236
ISBN-13: 0470108088
DOWNLOAD EBOOKThis 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).
Author: Kumar, A.V. Senthil
Publisher: IGI Global
Published: 2016-08-12
Total Pages: 448
ISBN-13: 1522506144
DOWNLOAD EBOOKWeb 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.
