Information and Decision Sciences

IDS 472 Business Data Mining

Credit hours 3 -Undergraduate 4 -Graduate
Catalog description Searching for relationships between variables in databases. Decision trees, cluster analysis, logistic regression, path analysis. Applications to marketing, quality assurance, operations management, human resources.
Key topics
  • Updating statistical databases
  • Sampling statistical databases
    Full database
    Strata
  • Cluster analysis
    Geodemographics
    Areas of dominant influence (ADIs)
    Life-style clusters
  • Path analysis
    Job satisfaction
    Customer satisfaction
    Sears Roebuck case
  • Logistic regression
    Quality assurance
    Marketing
  • Classification and regression trees
Prerequisites for this course IDS 371 or equivalent
Course(s) for which this is a prerequisite None
Required course for None
Elective course for Selective course for IDS Majors.
MS in MIS Students with a Concentration in Data Management
Frequency of offering Spring
Recent offerings, instructors, syllabi Spring 2005 Sclove
Spring 2004 Babad
Planned offerings Each Spring
Cross-listings  
Comments Credit is not given to graduate level students who have credit in IDS 572.