Scalable Frequent Itemset Mining Using Heterogeneous Computing : Parapriori Algorithm
نویسندگان
چکیده
منابع مشابه
Parallelizing Frequent Itemset Mining Process using High Performance Computing
Data is growing at an enormous rate and mining this data is becoming a herculean task. Association Rule mining is one of the important algorithms used in data mining and mining frequent itemset is a crucial step in this process which consumes most of the processing time. Parallelizing the algorithm at various levels of computation will not only speed up the process but will also allow it to han...
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The organization, management and accessing of information in better manner in various data warehouse applications have been active areas of research for many researchers for more than last two decades. The work presented in this paper is motivated from their work and inspired to reduce complexity involved in data mining from data warehouse. A new algorithm named VS_Apriori is introduced as the ...
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ژورنال
عنوان ژورنال: International Journal of Distributed and Parallel systems
سال: 2014
ISSN: 2229-3957,0976-9757
DOI: 10.5121/ijdps.2014.5502