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Improved Ant Colony Classification Algorithm Applied to Membership Classification

  • Hongxing Wu
  • Kai Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

Membership classification belongs to target customer analysis in the customer relationship management. For membership classification, an improved ant colony classification algorithm named mAnt-Miner+ is proposed. This algorithm on the basis of Ant-Miner, draws on the idea of mAnt-Miner (Ant-Miner that uses a population of many ants), and introduces a new heuristic strategy. Experimental results show that, in terms of prediction accuracy, mAnt-Miner+ is competitive with Ant-Miner and higher than mAnt-Miner; in terms of running efficiency, mAnt-Miner+ is more efficient than mAnt-Miner and Ant-Miner.

Keywords

Ant-Miner Heuristic Membership Classification Customer Relationship Management 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hongxing Wu
    • 1
  • Kai Sun
    • 1
  1. 1.The School of Computer and InformationHefei University of TechnologyHefeiChina

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