COB 204 Lecture Notes - Lecture 6: Data Mining, Decision Tree Learning

• School: JMU
• Department: College of Business
• Course: COB 204
• Professor: johnkarabelas

Document Summary

Basic operaions: soring, filtering, grouping, calculaing, formaing. Allows you to analyze & rank customers according to purchasing paterns. R: how recently a customer purchased a product. F: how frequently a customer purchases a product. M: how much money a customer spends. Supervised data mining: analysts develop model/ hypothesis & then test results, predict, ex. Unsupervised data mining: look at data then explain why you got those results. Market-basket analysis: a data mining technique for determining sales paterns. (ex. recommended on.