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Navigable Slide Index

1. Introduction
2. About the lecturer
3. Lecture outline
4. What is data mining
5. The goal of data mining
6. Knowledge discovery in data viewed as a process
7. What can data mining do
8. What is web mining
9. Web content mining
10. Web usage mining (1)
11. Web structure mining
12. Web content mining: data preparation
13. Web content mining: data representation (1)
14. Web content mining: data representation (2)
15. Web content mining: approaches and applications
16. Example - clustered search results
17. Example - personalized content delivery
18. Web structure mining: graph structures on the web
19. Example - Google's PageRank algorithm
20. Example - hubs and authorities
21. Example - web communities

Topics Covered

• Data mining
• Knowledge discovery in data viewed as a process
• Web content mining
• Web usage mining
• Web structure mining
• Web content mining
• Web content mining
• Data preparation and representation
• Approaches and application
• Clustered search results
• Personalized content delivery
• Web structure mining
• Google's PageRank algorithm
• Hubs and authorities
• Web communities

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Series:

• Data Mining

Categories:

• Technology & Operations

Talk Citation

Publication History

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