CIS 445

Data Mining

This course introduces basic data mining concepts and techniques and the application of data mining to business problems. Topics include data preparation, feature selection, predictive modeling, classification, clustering, evaluation, validation and scalability. The emphasis will be on the application of data mining techniques to problems in a business context. While there will be discussion about use of data mining tool and common techniques, the mathematics behind those techniques will not be the focus of this course. Data mining techniques about both structured and unstructured data (such as natural text) are discussed. Heavy use of a leading data mining software (e.g., SAS, SPSS) is expected

Units: 3.0