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DATA AND TEXT MINING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS208 DATA AND TEXT MINING 4 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
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 -