Description
DATA MINING
Data mining is the process of extracting useful information and knowledge from a set of data. Mining is typically done on data sets too large to be analyzed by hand, but the same techniques are applicable to small, complex data. This course is an introduction to the most popular methods used in managerial data mining, and provides you with experience in using commercial software to explore real data sets. Models considered include those from statistics, machine learning, and artificial intelligence, such as discriminant analysis, logistic regression, clustering, neural nets, tree/rule induction, and association rule modeling. The course is methods oriented, as opposed to being methodology oriented, so you will learn about when and how to use techniques and how to interpret their output rather than the details about how those techniques work. A laptop computer is required.
Details
Grading Basis
Grad LG/SU3 Basis
Units
3
Component
Lecture - Required
Offering
Course
BQOM 2578
Academic Group
Katz Grad School of Business
Academic Organization
KGSB - Business Admin
Campus
Pittsburgh Campus
Enrollment Requirements
PREQ: BQOM 2557; PROG: Katz Graduate School of Business
Typically Offered
Fall