Data Mining Processes (STQM 380)

• College: College of Business
• Department: Marketing
• Credit Hours: 3
• This course has a lecture with 3 hours.

Explore and apply processes for customer needs assessment, goal formulation, data selection and preparation, pattern detection and modeling, information and knowledge creation, and reporting. Explore specific data mining approaches such as knowledge discovery in databases (KDD) and Cross Industry Standard Process for Data Mining (CRISP-DM). Case studies illustrate data mining processes in varied areas of application such as business, criminal justice, education, government, or healthcare. Software applications (e.g. Access, Excel, SQL Server, SPSS). Prerequisites: STQM 342 or permission of instructor.Typically Offered Fall only, Even Years.