Mining of constant conditional functional dependencies based on pruning free itemsets

doi:10.16511/j.cnki.qhdxxb.2016.21.026

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Abstract The search space for discovering constant conditional functional dependencies (CCFDs) is reduced and the efficiency is improved by a series of pruning strategies that optimize the algorithm CFDMiner, which is a popular algorithm for mining CCFDs. Theoretical studies show many invalid and redundant free and closed itemsets for outputting valid CCFDs. Thus, pruning of free itemsets and selecting of corresponding closed itemsets can generate as consistent results as the original algorithm. Tests show that the optimized algorithm has a smaller search space and its efficiency is improved 4~5 fold on true data.

Keywords conditional functional dependency functional dependency free itemset closed itemset pruning algorithm

ZTFLH:

TP311.131

Issue Date: 15 March 2016

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	ZHOU Jinling
	DIAO Xingchun
	CAO Jianjun

Cite this article:

ZHOU Jinling,DIAO Xingchun,CAO Jianjun. Mining of constant conditional functional dependencies based on pruning free itemsets[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(3): 253-261.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.21.026 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I3/253

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