计算机工程与应用Issue(22)：136-138,218,4.DOI:10.3778/j.issn.1002-8331.1201-0377
基于混合蚁群算法的Web用户会话聚类
Hybrid Ant Colony Algorithm for Web user session clustering
摘要
Abstract
Session clustering is an important technology of Web usage mining, aiming to find similar user behavior, which is one of the hot fields in electronic business. The difficulty of the problem lies in the large scale session data, which needs to be represented as the high dimensional vector, and which is a challenge to the performance of the algorithm. This paper presents a type of clustering algorithm combining ACO with PSO algorithm. Experimental results show that the algorithm has better perfor-mance compared with ACO, PSO and K-Means algorithm.关键词
Web使用挖掘/蚁群优化/粒子群优化/会话聚类/电子商务Key words
Web usage mining/Ant Colony Optimization(ACO)/Partical Swarm Optimization(PSO)/session clustering/e-business分类
信息技术与安全科学引用本文复制引用
凌海峰,曹荣涛..基于混合蚁群算法的Web用户会话聚类[J].计算机工程与应用,2013,(22):136-138,218,4.基金项目
国家自然科学基金（No.N0.71071047）；安徽省自然科学基金项目（No.1208085MG120）；高等学校博士学科点专项科研基金（No.20090111110016）；合肥工业大学博士学位专项资助基金（No.2010HGBZ0301）。 （）
