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Frequent itemsets mining is an important data mining task. Until now there are many algorithms to mine frequent itemsets, this paper emphatically analyses existing algorithms' memory structure of transaction database and realization skill, as well as the usage of memory. On the basis, two new data structures UFP-Tree and FP-Forest are designed, which use multi-trees structure to store data and solve...
Association rules mining is an important data mining task, this paper emphatically analyzes realization skill and defects of existing algorithms. On the basis, a novel measure, named statistical correlation, which can indicate the correlation degree of multi-items in a rule, is put forward to cut association rules with independent or negative correlation, and its concept, calculating formulas and...
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