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Navigable Slide Index

1. Introduction
2. Data mining
3. What is data mining?
4. A blend of enabling disciplines
5. Statistics
6. Machine learning
7. Visualization
8. Database
9. Computer science
10. What data mining adds
11. The CRISP-DM model
12. The challenges
13. Development of a community
14. Convergence of contributing disciplines
15. Commercial systems and methodologies
16. Association rules
17. Customer relationship management
18. Business process analysis
19. Scientific data analysis
20. Web search and online services
21. Homeland security
22. Text mining
23. Evolution of data-centric businesses
24. Privacy
25. The state-of-the-art
26. The future: formalisation and theory
27. The future: modeling high-dimensional data
28. The future: verticals
29. The future: CPU and data growth
30. The future: industry growth and specialization
31. References

Topics Covered

• What is data mining?
• The CRISP-DM model
• Convergence of contributing disciplines
• Commercial systems and methodologies
• Business process analysis
• Scientific data analysis
• Text mining
• Evolution of data centric businesses
• Text mining
• Evolution of data centric businesses
• Privacy
• Formalization and theory
• Modeling high dimensional data
• Verticals
• CPU and data growth
• Industry growth and specialization

Links

Series:

• Data Mining

Categories:

• Marketing & Sales

Talk Citation

Publication History

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