ION523 DATA MINING
| Course Code: |
9040523 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Informatics Online |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
Prof.Dr. ÜNAL ERKAN MUMCUOÐLU |
| Offered Semester: |
Spring Semesters. |
Course Content
The course introduces principles and techniques of data mining. It emphasizes the advantages and disadvantages of using these methods in real world systems. and provides hands-on experience. Topics include: Data Mining using Decision-Tree based classifiers. Association-Rules. Clustering methods. Neural Networks. Statistical methods (Probability. Maximum Likelihood. EM algorithm. Bayesian methods. Markov and Hidden Markov methods. Cross-Validation. Regression). Visual methods. Text Mining. Web Mining.
