Articles liés à Web Communities: Analysis and Construction
Synopsis
The lack of uniformity in Web documents, and the sheer volume of Web data make conventional information retrieval techniques inadequate for management of Web data. Now comes Web Community, essentially a set of Web-based documents with consistent logical structure. The authors explain how to construct and analyze Web communities, introduce and explain the necessary algorithms, and examine successful existing applications. This book provides researchers and students in information retrieval and Web search with all the necessary basics and methods to create and understand Web communities, and adapt the samples provided for to new designs and implementations.
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À propos de l?auteur
Dr. Yanchun Zhang is Associate Professsor and the Head of Computing Discipline in the Department of Mathematics and Computing at the University of Southern Queensland. He obtained PhD degree in Computer Science from the University of Queensland in 1991. His research areas cover databases, electronic commerce, internet/web information systems, web data management, web search and web services. He has published over 100 research papers on these topics in international journals and conference proceedings, and edited over 10 books/proceedings and journal special issues. He is a co-founder and Co-Editor-In-Chief of World Wide Web: Internet and Web Information Systems and Co-Chairman of International Web Information Systems Engineering Society.
Dr. Jeffrey Xu Yu received his B.E., M.E. and Ph.D. in computer science, from the University of Tsukuba, Japan, in 1985, 1987 and 1990, respectively. Jeffrey Xu Yu was a faculty member in the Institute of Information Sciences and Electronics, University of Tsukuba, Japan, and was a Lecturer in the Department of Computer Science, The Australian National University. Currently, he is an Associate Professor in the Department of Systems Engineering and Engineering Management, the Chinese University of Hong Kong. His research areas cover databases, data warehouse and data mining. He has published over 100 research papers on these topics in international journals and conference proceedings. Jeffrey Xu Yu is a member of ACM, and a society affiliate of IEEE Computer Society.
Dr Jingyu Hou received his BSc in Computational Mathematics from Shanghai University of Science and Technology (1985) and his PhD in Computational Mathematics from Shanghai University (1995). He is now a Lecturer in the School of Information Technology at Deakin University, Australia. He has also completed a PhD in Computer Science in the Department of Mathematics and Computing at The University of Southern Queensland, Australia. His researchinterests include Web-Based Data Management and Information Retrieval, Web Databases, Internet Computing and Electronic Commerce, and Semi-Structured Data Models. He has extensively published in the areas of Web information retrieval and Web Communities.
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Web Communities
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Springer Berlin Heidelberg, 2010
ISBN 10 : 3642066119
ISBN 13 : 9783642066115
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Systematically presents, describes and discusses representative algorithms for Web community construction and analysis Highlights various important applications of Web communitySummarizes the main work in this area, and identifies several o. N° de réf. du vendeur 5045712
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Web Communities : Analysis and Construction
Edité par
Springer Berlin Heidelberg, 2010
ISBN 10 : 3642066119
ISBN 13 : 9783642066115
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques.Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications.Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations. N° de réf. du vendeur 9783642066115
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Web Communities
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Springer Berlin Heidelberg Feb 2010, 2010
ISBN 10 : 3642066119
ISBN 13 : 9783642066115
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques.Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications.Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations. 200 pp. Englisch. N° de réf. du vendeur 9783642066115
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Web Communities
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2010, 2010
ISBN 10 : 3642066119
ISBN 13 : 9783642066115
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques.Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications.Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. N° de réf. du vendeur 9783642066115
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Web Communities : Analysis and Construction
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Web Communities
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ISBN 10 : 3642066119
ISBN 13 : 9783642066115
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Etat : New. Num Pages: 187 pages, biography. BIC Classification: KJE; UKR; UND; UYZ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 314. . 2010. Softcover reprint of hardcover 1st ed. 2006. Paperback. . . . . N° de réf. du vendeur V9783642066115
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