Web mining : from web to semantic web : First european web mining forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, september 22, 2003 : invited and selected revised papers

In the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: The Web is a practically in?nite collection of documents: The acquisition and - ploitation of information from...

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Autor corporatiu: European Web Mining Forum :Cavtat-Dubrovnik, HR
Altres autors: Hotho, Andreas (Director editorial), Mladenić, Dunja, 1967- (Director editorial), Berendt, Bettina, 19..- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Col·lecció:Lecture notes in computer science. Lecture notes in artificial intelligence 3209
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Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
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Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Web mining, from web to semantic web, First european web mining forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, september 22, 2003, invited and selected revised papers, Bettina Berendt, Andreas Hotho, Dunja Mladenic...[et al.](eds.), Berlin, Springer, 2004, 1 vol. (VIII-200 p.), Lecture notes in computer science, 3-540-23258-3
• Web Mining: From Web to Semantic Web, Texte imprimé, 9783662185919
Taula de continguts:
  • A Roadmap for Web Mining: From Web to Semantic Web
  • On the Deployment of Web Usage Mining
  • Mining the Web to Add Semantics to Retail Data Mining
  • Semantically Enhanced Collaborative Filtering on the Web
  • Mapping Documents onto Web Page Ontology
  • Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
  • Web Community Directories: A New Approach to Web Personalization
  • Evaluation and Validation of Two Approaches to User Profiling
  • Greedy Recommending Is Not Always Optimal
  • An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals
  • Monitoring the Evolution of Web Usage Patterns.