Title :
Research on missing value estimation in data mining
Author :
Feng, Deng-Chao ; Wang, Zhe ; Shi, Jian-Fang ; Pereira, J. M Dias
Author_Institution :
Dept. of Electron. Eng., North China Inst. of Aerosp. Eng., Langfang
Abstract :
Data missing in data pretreatment has a serious effect on the accuracy of subsequent analysis results in data mining. In this paper, the cause of data missing and the corresponding effect on data mining were discussed. Then the missing pattern and the application limitation of traditional missing value estimation were analyzed as well. Finally, the estimation algorithm of missing value in MAR (missing at random) pattern was mainly studied and applied in fault classification based on wavelet neural network. The experiment results show the efficiency of the algorithm.
Keywords :
data mining; estimation theory; neural nets; pattern classification; wavelet transforms; data mining; data pretreatment; fault classification; missing value estimation; wavelet neural network; Algorithm design and analysis; Automation; Data analysis; Data engineering; Data mining; Intelligent control; Iterative algorithms; Neural networks; Pattern analysis; Probability; Data Mining; Expectation Maximization; Missing Value Estimation; Wavelet Neural Network;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593240
