Open Access
Issue
MATEC Web of Conferences
Volume 25, 2015
2015 International Conference on Energy, Materials and Manufacturing Engineering (EMME 2015)
Article Number 01003
Number of page(s) 7
Section Energy Engineering
DOI https://doi.org/10.1051/matecconf/20152501003
Published online 06 October 2015
  1. Margaret H Dunham. 2003. Data Mining Introductory and Advanced Topics. Upper Saddle River, N. J: Prentice Hall/ Pearson Education.
  2. Soumen Chakrabartietal. 2009. Data mining: know it all. UK: Library of Congress Cataloging-in-Publication Data, l~34.
  3. Pan, Y.L. 2011. A Study on the Improvement and Applications of Decision Tree Classification Algorithm (Master Dissertation). Kunming: Yunnan University of Finance and Economics.
  4. Wang, F. 2013. The Application of Decision Tree Algorithm in the Fault Diagnosis System of Mechanical Equipment (Master Dissertation). Wuhan: Huazhong University of Science and Technology.
  5. Jia, Z. 2013. A Study on the Application of Genetic Clustering Algorithm in Equipment Defects Classification (Master Dissertation). Shenyang: Liaoning Project Technology University.
  6. Ma, J.H., Zhang, W.X. & Xu, Z.B. 2002. Data Mining and Database Knowledge Discovery: A View of Statistics. Chinese Journal of Engineering Mathematics, 19(1): 1–13.
  7. Frank P. M. 1990. Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge based Redundancy–A survey and Some New Results. Automatica, 26(3):459–474. [CrossRef]
  8. Wu, H.X., Zheng, X.J. & Pan, C.H. 1988. Numerical Solution and Automatic Measurement of Complex Dielectric Constants. Journal of Microwaves, 4(4): 22–29.
  9. Zhang, Z.M., Xie, J. & Li, C.H. 2009. The Application of Data Mining in Defects Prediction and Management of Substation Equipment. Journal of Harbin Institute of Technology, 41(1): 272–274.

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