Data Mining

By Mr. L. Abraham David | St.John’s College, Palayamkottai Tirunelveli

Learners enrolled: 7178

Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. 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.

Data mining methodology extracts hidden predictive information from large databases. With such a broad definition, however, an online analytical processing (OLAP) product or a statistical package could qualify as a data mining tool. Retail companies and the financial community are using data mining to analyze data and recognize trends to increase their customer base, predict fluctuations in interest rates, stock prices, and customer demand.

Summary

Course Status :	Completed
Course Type :	Core
Duration :	12 weeks
Category :	Computer Science and Engineering
Credit Points :	4
Level :	Undergraduate
Start Date :	06 Aug 2019
End Date :	10 Oct 2019
Enrollment Ends :	10 Sep 2019
Exam Date :	10 Nov 2019 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week – I

1. Introduction to Data Mining

2. Introduction to Data Warehousing

3. OLTP

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

25. Classification Techniques-III

26. Classification Techniques-IV

Week – VIII

27. Classification Techniques-V

28. Classification Techniques-VI

29. Classification Techniques-VII

Week – IX

30. Other Data Mining Methods-I

31. Other Data Mining Methods-II

32. Other Data Mining Methods-III

33. Other Data Mining Methods-IV

Week – X

Interaction

Books and references

1. Jiawel Han and Micheline Kamber, “Data mining concepts and Techniques”

2. Berson, “Data Warehousing,Data Mining, OLAP”

3. Pang-Ning Tan, Michael Steinbach, Vipin Kumar “ Introduction to Data Mining”

4. Arun K Pujari, “Data Mining Techniques”

5. Dunham M H, “Data Mining-Introductory and Advanced Topics”

Instructor bio

Mr. L. Abraham David is an Assistant Professor in St.John’s College, Palayamkottai Tirunelveli. He has Five years of Teaching experience. He has attended many confernceses seminars and Workshops.