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Al-Hamodi et al., 2016 - Google Patents

An enhanced frequent pattern growth based on MapReduce for mining association rules

Al-Hamodi et al., 2016

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Document ID
9488198424506863953
Author
Al-Hamodi A
Lu S
Al-Salhi Y
Publication year
Publication venue
International Journal of Data Mining & Knowledge Management Process (IJDKP)

External Links

Snippet

In mining frequent itemsets, one of most important algorithm is FP-growth. FP-growth proposes an algorithm to compress information needed for mining frequent itemsets in FP- tree and recursively constructs FP-trees to find all frequent itemsets. In this paper, we …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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