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| Research on the Hot Topics Discovery Algorithm Based on Improved Ant Colony Clustering |
| Lu Bei, Cheng Xiao, Chen Zhi-Qun |
| (Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou 310018, China) |
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Abstract For the hot topics found is based on the clustering algorithm，this paper introduces the improved ant colony clustering algorithm，and raises Class Attention Degree (CAD) concept in order to determine the class of hot level and to distinguish popular categories as well as unpopular categories. Meanwhile，hot topic set is erxtracted on this basis. Experimental results show that the improved ant colony clustering algorithm has in certain effects to the hot topics found.
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Received: 22 March 2010
Published: 25 April 2010
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Corresponding Authors:
Cheng Xiao
E-mail: chx230861@126.com
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