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  • 马瑞新 ( 教授 )

    的个人主页 http://faculty.dlut.edu.cn/2003011129/zh_CN/index.htm

  •   教授   硕士生导师
  • 主要任职:求实书院执行院长
论文成果 当前位置: 马瑞新 >> 科学研究 >> 论文成果
A novel soft clustering algorithm

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论文类型:会议论文
发表时间:2011-01-01
收录刊物:CPCI-S、Scopus
卷号:15
页面范围:5536-5540
关键字:citation network; complex priority; soft clustering; thegrouth theorem
摘要:Paper clustering problems in citation network is one of the hottest spots in data mining. However, traditional paper clustering algorithm stresses on the keywords analysis while ignores the "refer-to" relationship, which results in the problem of high time complexity and low accuracy. In this paper, we come up with a novel soft clustering algorithm in accordance with the complex priority and thegrouth theorem, and classify our algorithm into two steps: refer-to relationship analysis and keywords comparison. Experimental results show that our algorithm is able to greatly improve the search accuracy and efficiency. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]

 

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