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1. Introduction
2. Web usage mining
3. Kinds of things we want to know
4. Web usage mining for E-business analytics
5. Typical sources of data and user transactions
6. What's in a typical server log?
7. Typical fields in a log file entry
8. Usage data preparation tasks
9. Levels of aggregation in web usage analysis
10. Conceptual representation of user transactions
11. Web usage mining as a process
12. Common web usage mining tasks (1)
13. Common web usage mining tasks (2)
14. Example: association analysis for E-commerce
15. Example: association rules
16. Characterizing user segments via clustering
17. Example: clustering user transactions
18. Example: collaborative filtering (1)
19. Example: collaborative filtering (2)
20. Example: web personalization
21. Conclusions
22. Additional references

Topics Covered

• Web usage mining for e-business analytics
• Typical sources of data and user transactions
• A typical server log
• Usage data preparation tasks
• Levels of aggregation in web usage analysis
• Conceptual representation of user transactions
• Web usage mining as a process
• Common tasks
• Association analysis for e-commerce
• Association rules
• Characterizing user segments via clustering
• Clustering user transactions
• Collaborative filtering
• Web personalization

Links

Series:

• Data Mining

Categories:

• Technology & Operations

Talk Citation

Publication History

• Published on June 17, 2008
• Archived on March 17, 2022