116,90 €
129,89 €
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Discovering Web Page Communities
Discovering Web Page Communities
116,90
129,89 €
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The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web data are usually tedious and difficult tasks when using conventional in-formation retrieval and data management techniques. The Web page community, defined as a set of Web-based documents with its own logical and/or semantic structures, provide…
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Discovering Web Page Communities (e-book) (used book) | bookbook.eu

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The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web data are usually tedious and difficult tasks when using conventional in-formation retrieval and data management techniques. The Web page community, defined as a set of Web-based documents with its own logical and/or semantic structures, provides a flexible and effective approach to support Wed data management, information retrieval and applications. This book addresses using hyperlink information to discover Web page communities. The work establishes a uniform framework for hyperlink analysis and community construction. Algorithms, supporting mecha-nisms and data models are proposed in the book. This book should help shed some light on this new and exciting research and appli-cation area. It is useful to researchers and students in Web mining, Web data management and information retrieval, as well as to pro-fessionals who may be considering utilizing Web communities to im-prove their applications.

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The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web data are usually tedious and difficult tasks when using conventional in-formation retrieval and data management techniques. The Web page community, defined as a set of Web-based documents with its own logical and/or semantic structures, provides a flexible and effective approach to support Wed data management, information retrieval and applications. This book addresses using hyperlink information to discover Web page communities. The work establishes a uniform framework for hyperlink analysis and community construction. Algorithms, supporting mecha-nisms and data models are proposed in the book. This book should help shed some light on this new and exciting research and appli-cation area. It is useful to researchers and students in Web mining, Web data management and information retrieval, as well as to pro-fessionals who may be considering utilizing Web communities to im-prove their applications.

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