J4 ›› 2011, Vol. 46 ›› Issue (5): 67-70.

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Study on Deep Web pages mining based on Apriori algorithm

LI Gui, HAN Zi-yang, ZHENG Xin-lu, LI Zheng-yu   

  1. Information & Control Engineering Faculty, Shenyang Jianzhu University, Shenyang 110168, Liaoning, China
  • Received:2010-12-06 Published:2011-05-25


The max frequent association pages in Deep Web sites are recognized by using Apriori algorithm, and the non-max frequent association pages are  pruned.Then, all the max frequent association pages are obtained by website traversing. Experimental results of some real estate Deep Web data extraction prove that the algorithm is feasible and valid.

Key words:  Deep Web; Apriori algorithm; pruning algorithm; feature code

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