Dm from databases perspective u 1

ppt unit 1

1. 1 6ED – Data Mining Course: Data Mining Sub Code: 6ED Google Classroom : q7b4gv Programme : B.Sc -CT Unit: I Hour : 10 Faculty: Ms. A. SATHIYA PRIYA Data Mining from Data Base Prespective Unit I Data Mining Issues

2. 2 Department of Computer Technology III BSC CT SEM V Year: 2019- 20 UNIT I Basic Data Mining Tasks 6ED – Data Mining SNAP TALK 2

3. 3 Department of Computer Technology III BSC CT SEM V Year: 2019- 20 UNIT I Basic Data Mining Tasks 6ED – Data Mining ATTENDANCE 3

4. Unit-I Data Mining Issues - Data Mining Versus Knowledge Discovery in Databases - Data Mining Issues - Data Mining Matrices - Social Implications of Data Mining - Data Mining from Data Base Perspective . 4 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

5. Lecture- Agenda Database Perspective on Data Mining 5 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

6. Cont., Data Mining from a database perspective Scalability Real World Data Updates Ease of Use 6 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

7. Scalability To effectively extract information from a huge amount of data in databases. The knowledge discovery algorithms must be efficient and scalable to large databases. The running time of a data mining algorithm must be predictable and acceptable in large databases. 7 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

8. Cont.., Algorithms with exponential or even medium order polynomial complexity will not be of practical use. 8 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

9. Real world data Noisy and missing attributes values. Algorithm should be able to work even in the presence of these problems. 9 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

10. Updates Data mining algorithm work with static data sets. It is not a realistic assumption. 10 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

11. Ease of use Data mining algorithm many work well, they may not be well if difficult to use or understand. 11 Unit I Data Mining from Data Base Perspective. 6ED – Data Mining

12. Key words Scalability Real World Data Updates Ease of Use 12 6ED – Data Mining Unit I Data Mining from Data Base Perspective.

13. Multiple Choice Questions 1. Data mining algorithm work with _________data sets A. Static B. Constant C. Dynamic 2. _____________ metrics play a critical role in data mining. A. Database B. Transparency C. Evaluation D. Checking 13 6ED – Data Mining Unit I Data Mining from Data Base Perspective. 3. ________________ is a measure of how well the model correlates an outcome with the attributes in the data. A. Profiling B. Accuracy C. Reliability D. Privacy

14. Pointer to Ponder What all are the development and issues in data mining? What are all the metrics in data mining? Explain any 4 issues with example. 14 6ED – Data Mining Unit I Data Mining from Data Base Perspective.

15. Summary of the Lecture Types of data Qualitative Quantitative Basic Statistical Descriptions of Data Graphic Displays of Basic Statistical Descriptions 15 6ED – Data Mining Unit I Data Mining from Data Base Perspective.

16. THANK U 16 Department of Computer Technology III BSC CT SEM V year: 2019-20 6ED – Data Mining UNIT I Basic Data Mining Tasks