Research into the Algorithm of Frequent Pattern Mining Based on across Linker

Ming Ru Zhao; Yuan Sun; Jian Guo; Ping Ping Dong

doi:10.4028/www.scientific.net/AMM.195-196.984

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 195-196Research into the Algorithm of Frequent Pattern...

Research into the Algorithm of Frequent Pattern Mining Based on across Linker

Abstract:

Frequent itemsets mining is an important data mining task and a focused theme in data mining research. Apriori algorithm is one of the most important algorithm of mining frequent itemsets. However, the Apriori algorithm scans the database too many times, so its efficiency is relatively low. The paper has therefore conducted a research on the mining frequent itemsets algorithm based on a across linker. Through comparing with the classical algorithm, the improved algorithm has obvious advantages.

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Periodical:

Applied Mechanics and Materials (Volumes 195-196)

Pages:

984-986

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.195-196.984

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Online since:

August 2012

Authors:

Ming Ru Zhao, Yuan Sun, Jian Guo, Ping Ping Dong

Keywords:

Across Linker, Apriori Algorithm, Association Rule, Frequent Item Set

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References

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