Feature Selection, Association Rules Network and Theory Building

Sanjay Chawla; JMLR W&P 10:14-21, 2010.

Abstract

As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be used to build a network of features, which we refer to as an association rules network, to extract features from large data sets. Association rules network can play a fundamental role in {\it theory building} - which is a task common to all data sciences- statistics, machine learning and data mining.



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