Computer and Modernization ›› 2009, Vol. 1 ›› Issue (12): 21-24.doi: 10.3969/j.issn.1006-2475.2009.12.006

• 人工智能 • Previous Articles     Next Articles

Analysis of Frequent Access Pages Mining Based on Apriori Algorithm

WANG Liang-ming1, YANG Wen-lin2, ZHU Min1
  

  1. 1. School of Information Engineering, Nanchang University, Nanchang 330031, China;2. Nanchang Campus, Jiangxi University of Science and Technology, Nanchang 330013, China
  • Received:2008-12-15 Revised:1900-01-01 Online:2009-11-27 Published:2009-11-27

Abstract: Mining maximum frequent item sets is the key issues in the application of data mining association rules. Combined with features of SQL language, improvement on Apriori algorithm can make efficiency improvements to a certain extent, because improved Apriori algorithm does not need to scan the database many times and narrows the search space constantly. The paper puts the application into frequently visiting in the page mining to find out the association rules of Web visited information, to better organize the Web site space for the convenience of users.

Key words: SQL, frequent access pages, association rule, Apriori algorithm

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