WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 : revised papers
WorkshopTheme The ease and speed with which business transactions can be carried out over the Web has been a key driving force in the rapid growth of electronic commerce. In addition, customer interactions, including personalized content, e-mail c- paigns, and online feedback provide new channels of...
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| Altres autors: | , , |
| 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
2356 |
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • WEBKDD 2001, Mining Web Log Data Across All Customers Touch Points, Third International Workshop, San Francisco, CA, USA, August 26, 2001, revised papers, Ron Kohavi ... [et al.] (eds.), Berlin, Springer, 2002, 1 vol. (IX-166 p.), Lecture notes in computer science, 3-540-43969-2 • WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points, Texte imprimé, 9783662177334 |
Taula de continguts:
- Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences
- A Customer Purchase Incidence Model Applied to Recommender Services
- A Cube Model and Cluster Analysis for Web Access Sessions
- Exploiting Web Log Mining for Web Cache Enhancement
- LOGML: Log Markup Language for Web Usage Mining
- A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
- Mining Indirect Associations in Web Data.