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At present, existing association rules mining algorithms have redundant candidate frequent itemsets and repeated computing. This paper proposes an algorithm of locating order mining based on sequence number, which is suitable for mining long frequent itemsets. In order to fast search long frequent itemsets, the algorithm adopts not only traditional down search, but also the method of locating order...
Aiming to redundant candidate itemsets and repeated computing existing in presented mining algorithms, this paper proposes an algorithm of fast mining frequent itemsets based on sequence number. To fast execute double search, the algorithm adopts two methods of generating candidate itemsets, one is down search that generating subsets of non frequent itemsets, another is up search that computing their...
Web usage mining is an application of data mining technology to mining the data of the Web server log files. It can discover these session patterns of user and some kinds of correlations between these Web pages. Web usage mining provides the support for the Web site design, providing personalization server and other business making decision. There are some session patterns saved in Web server log...
In this paper, in order to improve the method of computing support of candidate frequent itemsets, in order to reduce the times of scanning database when computing support, and in order to fast search long frequent itemsets, aiming to top-down search strategy, we propose an improved top-down association rules mining algorithm based on sequence number, which is suitable for mining long frequent itemsets...
In this paper, in order to reduce the times of scanning database when presented algorithms compute support of candidate frequent itemsets, in order to improve the method of computing support of candidate frequent itemsets, and in order to further improve the efficiency of algorithm, based on up search strategy of Apriori, we propose an algorithm of association rules mining based on sequence number...
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