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Aiming to these presented frequent neighboring class set mining algorithms have some repeated computing and redundancy candidate frequent neighboring class set when these algorithms extract frequent neighboring class set, this paper proposes an algorithm of mining frequent neighboring class set based on increasing sequence, which is suitable for mining frequent neighboring class set of objects in...
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...
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...
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