Web usage analysis and user profiling : international WEBKDD 99 Workshop San Diego, CA, USA, August 15, 1999 : revised papers
After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of conte...
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| Autor Corporativo: | |
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| Outros autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence
1836 |
| Sujets: | |
| Acceso en liña: | 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: | • Web usage analysis and user profiling, international WEBKDD'99 workshop, San Diego, CA, USA August 15 1999 ; revised papers, Brij Masand, Myra Spiliopoulou (eds.), 2000, Berlin, Springer, 1 vol (182 p.), Lecture notes in computer science, 3-540-67818-2 • Web Usage Analysis and User Profiling, Texte imprimé, 9783662182253 |
Table des matières:
- Modelling the Users
- Inferring Demographic Attributes of Anonymous Internet Users
- A Generalization-Based Approach to Clustering of Web Usage Sessions
- Constructing Web User Profiles: A Non-invasive Learning Approach
- Data Mining the Internet and Privacy
- Discovering Rules and Patterns of Navigation
- User-Driven Navigation Pattern Discovery from Internet Data
- Data Mining of User Navigation Patterns
- Making Web Servers Pushier
- Measuring Interestingness in Web Usage Mining
- Analysis and Visualization of Metrics for Online Merchandising
- Improving the Effectiveness of a Web Site with Web Usage Mining
- Discovery of Interesting Usage Patterns from Web Data.

