Data Mining and Data Warehousing

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.