Adaptive Bayes Network data mining modeling

Details Adaptive Bayes Network data mining modeling Adaptive Bayes Network data mining modeling

2005-12-06

2005-12-06

Wassum, Luke S (Department: 2167)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000

Reexamination Certificate

active

06973459

ABSTRACT:
A method, system, and computer program product for generating an Adaptive Bayes Network data mining model includes receiving a data table having a plurality of predictor columns and a target column, constructing a plurality of single-predictor models, ranking each single-predictor model using minimum description length and selecting a best single predictor model, performing feature selection, constructing a Naïve Bayes model, comparing a description length of the Naive Bayes model with a description length of a baseline model, replacing the baseline model with the Naïve Bayes model, if the description length of the Naive Bayes model is less than the description length of the baseline model, extending a plurality of single-predictor models in rank order, stepwise, to multi-predictor features, and testing whether each new feature should be included in or should replace a current model state using minimum description length.

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