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In order to avoid redundant calculation and reduce the time of scanning database, this paper proposes an algorithm of association rules mining based on digit sequence (DS). The algorithm firstly turns all transactions into digital transactions by binary, and then computing digit sequence of every attribute item. Finally, the algorithm uses forming digital pure subset of digital transaction to generate...
In order to reduce redundant candidate itemsets and repeated computing existing in these presented double search mining algorithms, this paper proposes an algorithm of double search association rules mining based on digital complementary sets, which adopts two methods of forming candidate itemsets to fast execute double searching, the way of generating subsets of non frequent itemsets is used to down...
This paper proposes an efficient algorithm of double search mining association rules based on digital pure subset, which uses the method of forming digital pure subset of transaction to generate candidate itemsets, and uses digital character to reduce the number of scanned transactions when computing support of itemsets after these transactions are turned into digital transaction by binary. In addition,...
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