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Improved Apriori Algorithm in the Power System Fault
by
Yan, Hong Wen
, Lin, Li Qiang
2014
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Improved Apriori Algorithm in the Power System Fault
by
Yan, Hong Wen
, Lin, Li Qiang
2014
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Journal Article
Improved Apriori Algorithm in the Power System Fault
2014
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Overview
For the low efficiency in generating candidate item sets of apriori algorithm, this paper presents a method based on property division to improve generating candidate item sets. Comparing the improved apriori algorithm with the other algorithm and the improved algorithm is applied to the power system accident cases in extreme climate. The experiment results show that the improved algorithm significantly improves the time efficiency of generating candidate item sets. And it can find the association rules among time, space, disasters and fault facilities in the power system accident cases in extreme climate. That is very useful in power system fault analysis.
Publisher
Trans Tech Publications Ltd
ISBN
3038351156, 9783038351153
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