【作者单位】1) Tibetan Information Technology Research Center, Tibet University, Lasa; 850000, China (2) School of Information Science and Technology, Southwest Jiaotong University, Chengdu; 610031, China (3) School of Life Science and Engineering, Southwest Jiaotong University, Chengdu; 610031, China (4) Big Data Research Center, University of Electronic Science and Technology of China, Chengdu; 611731, China (5) Science Computing and Intelligent Information Processing of Guangxi Higher Education Key Laboratory, Guangxi Teachers Education University, Nanning; 530023, China
【年份】2015
【卷号】Vol.44 No.4
【页码】599-604
【ISSN】1001-0548
【摘要】 By considering the time interval of Internet events as well as the importance of different feature items from semi-structured Web documents in different locations, an improved single-pass text clustering algorithm called single-pass*is proposed. The ...
