Mining Frequent Ranges of Numeric Attributes via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support

Abstract

Currently, all search algorithms which use discretization of numeric attributes for numeric association rule mining, work in the way that the original distribution of the numeric attributes will be lost. This issue leads to loss of information, so that the association rules which are generated through this process are not precise and accurate. Based on this… (More)

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Cite this paper

@inproceedings{Moslehi2011MiningFR, title={Mining Frequent Ranges of Numeric Attributes via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support}, author={Parisa Moslehi and B. Minaei Bidgoli and Mahdi Nasiri and Erfan Nazari Fazel and Behrouz Minaei-Bidgoli}, year={2011} }