2Vapnik V.The Nature of Statistical Learning Theory[M].New York:Springer,1999.
3Jovanovic N, Milutinovic V, Obradovic Z. Foundations of predictive data mining: Neural Network Applications in Electrical Engineering//2002 6th Seminar on. 2002:53-58.
4Riedmiller M, Braun H. A direct adaptive method for faster backpropagation learning: the R_PRO Palgorithm // Neural Networks, 1993, IEEE International Conference on. 1993 : 586-591.
5Onoda T. Neural network information criterion for the optimal number of hidden units. Neural.
6Folino G, Pizzuti C, Spezzano G. Improving Induction Decision Trees with Parallel Genetic Programming[C]//Parallel, Distributed and Network-basedProcessing. Proceedings 10th Euromicro Workshop on. 2002.
7Han E, Karypis G, Kumar V. Scalable parallel algorithms for mining association rules. IEEE Transactions on Knowledge and Data Eng. ,2000,12 (3).
8Zaki M J. An efficient algorithm for frequent mining sequences. Machine Learning Journal, 2001,42 : 31-60.
9Per J, Han J,Mao R. CLOSET: An efficient algorithm for mining frequent closed itemsets//Proc. 2000 ACM-SIGMOD Int. Workshop Data Mining and Knowledge Discovery (DMKD00). Dallas,TX,May 2000 : 11-20.
