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Web Communities Analysis and Construction /

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 s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhang, Yanchun (Autor), Xu Yu, Jeffrey (Autor), Hou, Jingyu (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Zhang, Yanchun.  |e author.  |0 (orcid)0000-0002-5094-5980  |1 https://orcid.org/0000-0002-5094-5980  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Web Communities  |h [electronic resource] :  |b Analysis and Construction /  |c by Yanchun Zhang, Jeffrey Xu Yu, Jingyu Hou. 
250 |a 1st ed. 2006. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2006. 
300 |a XI, 187 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Preliminaries -- HITS and Related Algorithms -- PageRank Related Algorithms -- Affinity and Co-Citation Analysis Approaches -- Building a Web Community -- Web Community Related Techniques -- Conclusions. 
520 |a 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. 
650 0 |a Computer engineering. 
650 0 |a Computer networks . 
650 0 |a Application software. 
650 0 |a Information storage and retrieval systems. 
650 0 |a User interfaces (Computer systems). 
650 0 |a Human-computer interaction. 
650 0 |a Electronic commerce. 
650 1 4 |a Computer Engineering and Networks. 
650 2 4 |a Computer and Information Systems Applications. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a User Interfaces and Human Computer Interaction. 
650 2 4 |a e-Commerce and e-Business. 
700 1 |a Xu Yu, Jeffrey.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Hou, Jingyu.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642066115 
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950 |a Computer Science (R0) (SpringerNature-43710)