Improved Apriori Algorithm in the Power System Fault

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 syste...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 556-562; pp. 1510 - 1514
Main Authors Lin, Li Qiang, Yan, Hong Wen
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.05.2014
Subjects
Extreme Climate
Association Rule
Power System
Apriori Algorithm
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Summary: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.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Computing Technology (ICMECT 2014), April 9-10, 2014, Shanghai, China
ISBN:3038351156
9783038351153
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.556-562.1510