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论文类型：会议论文

发表时间：2009-01-01

收录刊物：CPCI-S

页面范围：1017-1020

关键字：Information retrieval; genetic algorithm; simulated annealing; annealing-inspired genetic algorithm

摘要：With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from several research is at the cross road of research from several research communities. In this paper, a new adaptive method of mining web documents is proposed. We give an algorithm which combines genetic algorithm and simulated annealing based on vector space model. This algorithm avoids the disadvantage of web documents by using pure genetic algorithm which can not be utilized accurately. Experimental results indicate that this adaptive method significantly improves the performance in retrieval accuracy.