1LEE N C. Improving data quality: development and evaluation of error detection methods[ DJ. Taiwan: National Sun Yat - Sen University. 2002.
2HAN J, Kamber M. Data mining: Concepts and techniques[M]. San Francisco: Morgan Kaufmann,2000.
3Batista G E A P A, Monard M C. An analysis of four missing data treatment methods for supervised learning [ J ]. Applied Artificial Intelli- gence, 2003,17 ( 5 - 6) :519 - 533.
5Oba S, Sato M A, Takemasa I, et al. A Bayesian missing value estimation method for gene expression profile data [J]. Bioinfomlatics, 2003,19(16) :2088 -2096.
6Chmielewski M R ," Gr'zymala - Busse J W, Peterson N W, et al. The rule induction s~,stem LERS - A version for personal computers [ J ]. Found Computer Decision Science, 1993,18 (3 - 4 ) : 181 - 212.
7Batista G E A P A, Monard M C. A study of K - nearest neighbour as an imputation method [ C ]//Proceedings of the Second International Conference on Hybrid Intelligent Systems. Santiago: IOS Press, 2002:251 -260.
8Hruscbka E R, Hruschka Junior E R, Ebecken N F F. Evaluating a Nearest - Neighbor method to substitute continuous missing values [ C ]// The 16th Australian Joint Conference on Artificial Intelligence. Heidallberg: Springer- Verlag , 2003:723 -734.
9Hruschka E R, Hruschka Junior E R, Ebecken N F F. Towards efficient imputation by Nearest - Neighbors: A clustering - based approach [ C ]//The 16th Australian Joint Conference On Artificial Intelligence. Berlin : Springer - Verlag, 2005,513 - 525.
10Sheikholeslami G, Chatterjee S, Zhang A. WaveCluster: A Multi - resolution clustering approach for very large spatial databases[ C ]//Pro- ceedings of the 24th conference on VLDB. New York, 1998:428 -439.
