Computer Science ›› 2007, Vol. 34 ›› Issue (12): 168-170.

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  • Online:2018-11-16 Published:2018-11-16

Abstract: In this paper, tow main shortcomings of a conventional hash algorithm used for finding frequent item sets in data mining are pointed out: 1) it is difficult to choose a suitable hash function; 2) it is easy to lead to a hash conflict. In order to overcome

Key words: Data mining, Frequent item sets, Hash function, Hash conflict, Separate agilely into buckets

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