Data Mining
Data mining is the analysis step of the “knowledge discovery in databases” process, or KDD. In this course, you will learn that data mining is the extraction of hidden predictive information from large databases is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.
COURSE LAYOUT
Week – I
1. Introduction to Data Mining
2. Introduction to Data Warehousing
3. OLAP
4. Trends in Data Warehousing
Week – II
5. Applications in Data Warehousing
6. Data Warehousing Architecture-I
7. Data Warehousing Architecture-II
8. Data Warehousing Architecture-III
Week – III
9. Data Warehousing Architecture-IV
10.Data Warehousing Architecture-V
11. Data Mining-I
12. Data Mining-II
Week – IV
13. Data Mining-III
14. Data Mining-IV
15. Data Mining-V
16. Data Mining-VI
Week – V
17. Data Mining-VII
18. Association Rule Mining-I
19. Association Rule Mining-II
Week – VI
20. Association Rule Mining-III
21. Association Rule Mining-IV
22. Association Rule Mining-V
Week – VII
23. Classification Techniques-I
24. Classification Techniques-II
Week – VIII
25. Classification Techniques-III
26. Classification Techniques-IV
Week – IX
27. Classification Techniques-V
28. Classification Techniques-VI
Week – X
29. Classification Techniques-VII
Week – XI
30. Other Data Mining Methods-I
31. Other Data Mining Methods-II
Week – XII
32. Other Data Mining Methods-III
33. Other Data Mining Methods-IV
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