Improved Ant Colony Classification Algorithm Applied to Membership Classification

摘要：

　　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.

关键词： Ant-Miner Heuristic Membership Classification Customer Relationship Management

作者: Hongxing Wu Kai Sun

作者单位: The School of Computer and Information, Hefei University of Technology, Hefei, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 278-287

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）