An Ant-Based Algorithm for Web Content Mining

摘要：

Ant-Based algorithms or ant colony optimization algorithms have been applied successfully in many fields. This paperutilizesAnt_Miner3---thefirstfordiscovering classification rules in the field of web content mining. Firstly, we use morphological processor of WordNet to perform the web page pre-processing, then classified with the Ant_Miner3 to get the rule. The experiments results showed it is more effective than C5.0 algorithm in accuracy and simplicity. At last, we point out some drawbacks and our future works.

关键词： Web Content Mining Classification Rules Swarm-Intelligence Ant-Based Algorithm

作者: SU Yidan GU Xinyi DAI Shengxiang

作者单位: School of Management University of Shanghai for Science and Technology Shanghai, China College of Computer and Electronics Information,Guangxi University Nanning, Guangxi Province, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 289-292

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）