An Improved ID3 Algorithm for Power Equipment in Green Power Engineering

Xiao Rong Cheng; Qiong Wang

doi:10.4028/www.scientific.net/AMM.340.1029

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 340An Improved ID3 Algorithm for Power Equipment in...

An Improved ID3 Algorithm for Power Equipment in Green Power Engineering

Abstract:

Summary The article firstly outlines the the application of data mining in fault diagnosis, And summarizes its working principle; Secondly describe the ID3 algorithm in detail, analyze the deficiency of it; Then on the basis of the ideas of the original algorithm, this paper puts forward an improved method, Through using the embedded SQL, Directly query the target database and treat them, Ultimately obtain the classification decision table and store in the database. Finally, through the experiment has proved that the improved method can greatly improve the efficiency of the algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 340)

Pages:

1029-1033

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.340.1029

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Online since:

July 2013

Authors:

Xiao Rong Cheng, Qiong Wang

Keywords:

Data Mining (DM), Fault Classification, Improved ID3

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References

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