参考文献

[1] Tan P N,Michael S,Vipin K．数据挖掘导论（完整版）[M]． 范明，范宏建，等译．北京：人民邮电出版社，2011.

[2] 毛国君，段立娟．数据挖掘原理与算法[M].3版． 北京：清华大学出版社，2016.

[3] Muqasqas S A,Al Radaideh Q A,Abul-Huda B A.A Hybrid Classification Approach Based on Decision Tree and Naïve Bays Methods[J].International Journal of Information Retrieval Research（IJIRR）,2014,4（4）:61-72.

[4] 李明辉．基于决策树方法的属性推断技术研究及应用[D]．武汉：中南民族大学， 2014.

[5] Li W, Xing C Z. Parallel Decision Tree Algorithm Based on Combination[J]. Information Technology and Applications,2010:99-101.

[6] 杨远洋．带估计的分割点采样的并行决策树[D]．天津：天津大学，2013.

[7] Rastogi R,Shim K.PUBLIC:A decision tree classifier that integrates building and pruning [C].In VLDB,1998:24–27.

[8] Quinlan J R.Rule induction with statistical data a comparison with multiple regression [J]. Journal of the operational research Society,1987,38:347–352.

[9] Mehta M,Rissanen J,Agrawal R,et al.MDL-Based Decision Tree Pruning[C].In KDD,1995:216–221.

[10] Vishwakarma U,Ja in A.Reduces Unwanted Attribute in Intruder File Based on Feature Selection and Feature Reduction Using ID3 Algorithm[J].International Journal of Computer Science & Information Technolo,2014,5（1）:896-900.

[11] Hashim H,Talab A A,Satty A,et al.Data Mining Methodologies to Study Student＇s Academic Performance Using the C4.5 Algorithm[J].2015,5（2）:59-68.

[12] Zarei K. Prediction of Infinite Dilution Activity Coeffic ients of Halogenated Hydrocarbons in Water Using Classification and Regression Tree Analysis and Adaptive Neuro-Fuzzy Inference Systems[J].Journal of Solution Chemistry,2013,42（3）:516-525.

[13] 李力．基于 Hadoop 的决策树分类算法的并行化研究[D]．成都：四川师范大学， 2015.

[14] Janaki Meena M, Chandran K R. Naïve Bayes Text Classification With Positive Features Selected by Statistical Method[C].Advanced Computing.In:Processings of ICAC, 2009:28-33.

[15] Mouratis T, Kotsiantis S. Increasing the Accuracy of Discriminative of Multinomial Bayesian Classifier in Text Classification[C]. In:Processings of Computer Sciences and Convergence InformationTechnology,2009:24-26.

[16] Herrero-Lopez S. Accelerating SVMs by integrating GPUs into Map Reduce clusters[C]//Systems, Man, and Cybernetics （SMC）, 2011 IEEE International Conference on. IEEE, 2011:1298-1305.

[17] 周英，卓金武，卞月青．大数据挖掘系统方法与实例分析[M]．北京：机械工业出版社，2016.

[18] Smits G F, Jordaan E M. Improved SVM regression using mixture of kernel[A]. IEEE Proceeding of UCNN 02 on Neural Network[C]. 2002, 3:2785-2790.

[19] Freund Y. Schapire R. A decision-theoretic generalization of onlinelearning andapplication to boosting[J]. Journal of Computer and System Sciences. 1997,55:119-139.

[20] 张露．基于改进支持向量机的数据挖掘分类算法研究[D]．兰州：兰州理工大学， 2016.

[21] 吴烨． 基于 Weka 平台的决策树算法研究与实现[D]． 西安：西安电子科技大学， 2014. x2SbTYJbyeCmzga7ccd2R0A+nqKjvGqvxsgtvSv1g8kBWobwPWG8NSYelr2CnYQ1