Description
Recently there has been an increasing interest in research and practice of data mining. Data mining is about finding hidden patterns and unknown facts in large data sets. Researchers use various techniques to mine data that belong to various background disciplines. This includes, but not limited to: Regression, Correlation, Association rules, Cluster analysis, and many others. In terms of data mining results, decisions makers and analysts used the mining output in both directions: description and prediction. This course introduces those concepts in detail.