Academic Term and Year
Area of Study
Goals: Introduce students to data mining techniques and best practices. Content: This course includes classification, prediction, data reduction, and data visualization. Advanced regression, network and cluster analysis. Taught: Alternate Years Prerequisites: QMBE 1320 (grade of C- or better) Credits: 4
Lochner, John, "QMBE3740-01.Data Mining.F16.Lochner,John" (2016). Historic Syllabi -- full text access limited to internal Hamline administrative staff only. 1437.