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: |
|
| 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.
