Data Mining and Data Warehousing
| Module | Code | Semester | Type | Hours | Labaratories / Seminars | ECTS | Instructors |
| Data Mining and Data Warehousing | ΗΥ380 | 8 | Specialisation I.S. | 4 | – |
4
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Mylonas Ph. – Kermanidou K. |
| Description: |
| Data Warehouses. Introduction to Knowledge extraction. Methodologies and Algorithms. Data Mining. Predictive and Descriptive approaches to Data Mining. Association Rules. Classification. Decision trees. k-Nearest Neighbors. Stochastic classification. Naive Bayes. Bayes Networks. Clustering. k-Means. Meta-learning. Data Warehouses and OLAP Technology. Data pre-processing. Filtering. Feature selection. Visualization. Evaluation. Time-series analysis. |
| Bibliography: |
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| Additional Material: |