A new method of clustering search results using frequent itemsets with graph structures

I. Fang Su, Yu Chi Chung, Chiang Lee, Xuanyou Lin

研究成果: Conference contribution

摘要

The representation of search results from the World Wide Web has received considerable attention in the database research community. Systems have been proposed for clustering search results into meaningful semantic categories for presentation to the end user. This paper presents a novel clustering algorithm, which is based on the concept of frequent itemsets mining over a graph structure, to efficiently generate search result clusters. The performance study reveals that the algorithm was highly efficient and significantly outperformed previous approaches in clustering search results.

原文English
主出版物標題IT Convergence and Services, ITCS 2011 and IRoA 2011
頁面87-97
頁數11
DOIs
出版狀態Published - 2012 一月 1
事件3rd International Conference on Information Technology Convergence and Services, ITCS 2011 and 2011 FTRA International Conference on Intelligent Robotics, Automations, Telecommunication Facilities, and Applications, IRoA 2011 - Gwangju, Korea, Republic of
持續時間: 2011 十月 202011 十月 22

出版系列

名字Lecture Notes in Electrical Engineering
107 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other3rd International Conference on Information Technology Convergence and Services, ITCS 2011 and 2011 FTRA International Conference on Intelligent Robotics, Automations, Telecommunication Facilities, and Applications, IRoA 2011
國家Korea, Republic of
城市Gwangju
期間11-10-2011-10-22

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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