Statistical Aspects of Data Mining

Course Description: Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining. Topics: decision trees, neural networks, association rules, clustering, case based methods, and data visualization. The following chapters from the textbook will be covered in this order: Course Schedule and Lecture Notes in PDF format from Stanford for Statistical Aspects of Data Mining.