March 26, 1999
School of Business
Using Data Mining and Logistic Analysis on an E-Commerce Dataset
The InterNeg project (http://interneg.org) was created to study anonymous negotiations through the development of net-centric systems, and one of the systems developed is called INSPIRE. Data generated by INSPIRE is analyzed using naive-bayes, entropy-based decision tree and CHAID methods. These data mining methods provide exploratory models that indicate general interaction between variables. Statistical logistic analysis, which is based on log measures and generalized linear modelling, is used to further analyze the initial models. This talk will present the data mining and logistic methods, as well as initial results from the analyses.