Data Mining
Data; information and knowledge concepts; Introduction to data mining; Knowledge discovery in databases (KDD); Databases; OLTP; Data warehouses; Data cubes; OLAP; KDD- data select; KDD- data preprocessing (data cleaning – data transformation); Classification concepts (decision trees; ID3 and bayes algorithms; etc.); Cluster concepts (kmeans; k-medoids; dbscan algorithms; etc.); Association rules concepts (market basket; apriori algorithm; etc.); Case study with apriori algorithm.
| Course Credit | Credit Fees | ECTS Credit | Season | Language | Lecturer | Course Calendar |
|---|---|---|---|---|---|---|
| 3 | 4 | SPRING | Turkish | Updating |