JSW 2009 Vol.4(9): 1032-1036 ISSN: 1796-217X
doi: 10.4304//jsw.4.9.1032-1036
doi: 10.4304//jsw.4.9.1032-1036
Research on Information Retrieval System Based on Ant Clustering Algorithm
Peiyu Liu, Zhenfang Zhu, Lina Zhao
School of Information Science and Engineering, Shandong Normal University, Shandong Ji’Nan 250014 , China
Abstract—Internet is more and more widely used, which provide a valuable information resource for users. How retrieve the information users prefers rapidly and accurately become the focus nowadays. With introducing ant-based clustering and sorting, it makes a more precise and rapid clustering result. Consequently, it increases the speed and efficiency of information retrieval.
Index Terms—ant-based clustering, clustering result, information retrieval
Abstract—Internet is more and more widely used, which provide a valuable information resource for users. How retrieve the information users prefers rapidly and accurately become the focus nowadays. With introducing ant-based clustering and sorting, it makes a more precise and rapid clustering result. Consequently, it increases the speed and efficiency of information retrieval.
Index Terms—ant-based clustering, clustering result, information retrieval
Cite: Peiyu Liu, Zhenfang Zhu, Lina Zhao, "Research on Information Retrieval System Based on Ant Clustering Algorithm," Journal of Software vol. 4, no. 9, pp. 1032-1036, 2009.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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