Formal Concept Analysis Based Clustering for Blog Network Visualization

摘要：

Blog network is growing explosively recently. As a result, the network becomes huge and dynamic. People have an urge to have effective ways to explore and retrieve related information. Blog analysis has been investigated for several years. There are still some improvement space exist. In this paper, we provide a formal concept analysis based clustering visualization to help people find information easily. Especially it is easy for them to find hot topics and their related information. Our approach has several steps such as extracting keywords from individual blog entries, formal concept analysis (FCA) based clustering and user interactions. Compare with other applications, the main difference is using FCA to analysis the content of individual entries so that group similar entries into one community. Experiments results are provided to show the advantages of our approach.

关键词： Clustering FCA Information Visualization

作者: Jing Gao Wei Lai

作者单位: Faculty of Information and Communication Technologies Swinburne University of Technology PO Box 218 Hawthorn Victoria 3122,Australia

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 394-404

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）