WEBKDD 2002 - mining Web data for discovering usage patterns and profiles : 4th international workshop, Edmonton, Canada, july 23, 2002 : revised papers

1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering in...

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書誌詳細
団体著者: WEBKDD 2002 :Edmonton, Canada
その他の著者: Zaïane, Osmar R. (出版デイレクター), Srivastava, Jaideep, 19..- (出版デイレクター), Spiliopoulou, Myra, 1965- (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
シリーズ:Lecture notes in computer science. Lecture notes in artificial intelligence 2703
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オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• WEBKDD 2002, mining Web data for discovering usage patterns and profiles, 4th international workshop, Edmonton, Canada, july 23, 2002, revised papers, Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou...[et al.] (eds.), Berlin, Springer, 2003, 1 vol. (VIII-179 p.), Lecture notes in computer science, 3-540-20304-4
• WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles, Texte imprimé, 9783662163016

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