Using Topic and Sample Weighting Clustering to Detect Hotspots and Their Trend in a Special Domain

摘要：

Detecting hotspots and trend in a special domain based on the traditional method is costly, timeconsuming and hysteretic. A method based on topic and sample weighting clustering is proposed to analysis and cluster the academic papers including the publication date. The PageRank value of each document is calculated according to the cited relationship among them, and it is used as the weight in the clustering. The topic and sample weighting clustering method can detect hotspots and trend of a particular domain. Experimental results show that the proposed method can detect hotspots and trend in a special domain quickly and accurately.

关键词： hotspots and trend detecting topic clustering sample weighting clustering document clustering

作者: Chengzhi Zhang

作者单位: Institute of Scientific and Technical Information of China, Beijing, China Department of Information Management, Nanjing University of Science and Technology, Nanjing, China

会议类型: 国际会议

会议名称: Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第四届科技信息资源共享促进国际会议 COINFO 2009)

会议地点: 北京

会议语种:英文

页码: 304-309

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）