| 1 |
- |
Introduction and General Concepts |
Lecture & Discussion & Practice |
| 2 |
Literature Review |
Data mining fields of application |
Lecture & Discussion & Practice |
| 3 |
Literature Review |
Ready programs in data mining - Electronic Table Programs in data mining |
Lecture & Discussion & Practice |
| 4 |
Literature Review |
Preparing data analysis (steps) |
Lecture & Discussion & Practice |
| 5 |
Literature Review |
OLAP |
Lecture & Discussion & Practice |
| 6 |
Literature Review |
Classification and Clustering |
Lecture & Discussion & Practice |
| 7 |
Literature Review |
Decision Trees |
Lecture & Discussion & Practice |
| 8 |
- |
MID-TERM EXAM |
- |
| 9 |
Literature Review |
Statistics in Data Mining |
Lecture & Discussion & Practice |
| 10 |
Literature Review |
Artificial Intelligence in Data Mining |
Lecture & Discussion & Practice |
| 11 |
Literature Review |
Artificial Neural Networks in Data Mining |
Lecture & Discussion & Practice |
| 12 |
Literature Review |
Association theories |
Lecture & Discussion & Practice |
| 13 |
Literature Review |
Other mining theories in Data mining -Web ve Text Mining |
Lecture & Discussion & Practice |
| 14 |
Literature Review |
Case Studies |
Lecture & Discussion & Practice |
| 15 |
Literature Review |
Industrial Applications in data mining |
Lecture & Discussion & Practice |
| 16 |
- |
FINAL EXAM |
- |
| 17 |
- |
FINAL EXAM |
- |