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1. Introduction
2. Background (1)
3. Background (2)
4. Talk structure
5. Overview
6. Why prepare data? (1)
7. Why prepare data? (2)
8. Domain knowledge and business objective
9. Raw data
10. Tools and algorithms
11. Modeling objective
12. Analytical knowledge
13. The 4 stages of data mining
14. Proportion of project spent on main activities (1)
15. Proportion of project spent on main activities (2)
16. Applicability of general data preparation techniques
17. A continuing and repeated spiral of activities
18. Summary of key points from this section
19. What is data preparation?
20. Data preparation described
21. Data preparation background
22. What is data?
23. Ideal data: C5
24. Ideal data: C5 - data survey
25. Selecting data for modeling
26. Tools (1)
27. Tools (2)
28. Techniques (1)
29. Techniques (2)
30. Introducing information transmission
31. Introducing information transmission - disjoint (1)
32. Introducing information transmission - disjoint (2)
33. Introducing information transmission- Interactions
34. Preparing data: Where to represent complexity?
35. Information transmission by mode (1)
36. Information transmission by mode (2)
37. Information transmission by mode (3)
38. Signal and noise (1)
39. Signal and noise (2)
40. Summary of six key points from this section (1)
41. Summary of six key points from this section (2)
42. Summary of six key points from this section (3)
43. Practical results
44. Summary: practical example
45. Thank you

Topics Covered

• Why prepare data?
• Six foundations for data preparation and modeling
• Applicability of general data preparation techniques
• What is data preparation?
• Ideal data
• Selecting data for modeling
• Tools
• Techniques
• Introducing information transmission
• Where to represent complexity?
• Information transmission by mode
• Signal and noise
• Practical results

Links

Series:

• Data Mining

Categories:

• Technology & Operations

Talk Citation

Publication History

• Published on December 3, 2008
• Archived on March 17, 2022