TR EN

DATA MINING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
BIL421 DATA MINING 5 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction -
2 - Data Mining and Data Warehouse - Database -
3 - Data Mining and Data Warehouse - Data Warehouse -
4 - Data Mining Process and Applications -
5 - Data Mining Methods -
6 - Classification with Decision Trees -
7 - Classification with Decision Trees -
8 - MID-TERM EXAM -
9 - Classification with Decision Trees -
10 - Classification and Regression Trees -
11 - Classification with K-Nearest Neighbor Algorithm -
12 - Naive Bayes Classifiers -
13 - Classification with Support Vector Machines -
14 - Clustering -
15 - Association Rules -
16 - FINAL EXAM -
17 - FINAL EXAM -