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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| Yhteisötekijä: | |
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| Muut tekijät: | , , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science. Lecture notes in artificial intelligence
2703 |
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
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 |
Sisällysluettelo:
- LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
- Mining eBay: Bidding Strategies and Shill Detection
- Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
- Web Usage Mining by Means of Multidimensional Sequence Alignment Methods
- A Customizable Behavior Model for Temporal Prediction of Web User Sequences
- Coping with Sparsity in a Recommender System
- On the Use of Constrained Associations for Web Log Mining
- Mining WWW Access Sequence by Matrix Clustering
- Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
- The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis.