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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| Autres auteurs: | , , |
| Format: | Livre numérique |
| Langue: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science. Lecture notes in artificial intelligence
2703 |
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| 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 |

