＂Probability Entropy＂ Method for Data Mining： PIE Method -＂A New Approach＂
＂Probability Entropy＂ Method for Data Mining： PIE Method -＂A New Approach＂
出处
《通讯和计算机（中英文版）》
2011年第8期609-614,共6页
Journal of Communication and Computer
参考文献8
-
1J. Baldwin, Rules for Data Mining, available online at: http://www.enm.bris.ac.uk/teaching/enj fb/emat31600/Rul es.pdf.
-
2Data Mining, available online at: http://www.microstrategy.com/News/Glossary/Letter_d.h tm.
-
3Decision Tree, available online at: http://amsglossary.allenpress.com/glossary/browse?s=d& p=8.
-
4C.E. Shannon, W. Weaver, The Mathematical Theory of Communication, University of Illinois Press, Urbana, IL, 1959.
-
5H. Maki, Y. Teranishi, Development of Automated Data Mining System for Quality Control in Manufacturing, DaWaK, 2001, 93-100.
-
6J.A. Michael, G. Linoff, Data Mining Techniques: For Marketing, Sales, and Customer Support, John Wiley & Sons, 1997.
-
7G. Paolo, Applied Data Mining: Statistical Methods for Business and Industry, John Wiley, 2003, p. 376.
-
8D.F.S. Rolfe, G.C. Brown, Cellular energy utilization and molecular origin of standard metabolic rate in mammals, Physiol. Rev. (1997) 731-758.
-
1吴陈,张明华.基于最优朴素贝叶斯分类器的个人信用预测[J].江苏科技大学学报（自然科学版）,2012,26(4):376-380. 被引量：8
-
2胡海斌.3MZ208轴承套圈内圆磨床电气控制系统的改造[J].轴承,2006(9):15-17. 被引量：1
-
3姚小群,姚锡凡,王卫平,陈统坚.加工过程的不确定性信息度量[J].河南科技大学学报（自然科学版）,2004,25(3):19-23. 被引量：1
-
4李含伦,张爱武,彭实,胡少兴,孙卫东.高光谱影像分类中纹理选择方法研究[J].光学技术,2013,39(1):41-47.
-
5吴成茂.基于后验概率熵的正则化Otsu阈值法[J].电子学报,2013,41(12):2474-2478. 被引量：12
-
6Wang Guangjun Tian Jinwen Chen Zhenyu Liu JianState Key Laboratory for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, WuHan 430074 Wu Guoping.Gravel Image Segmentation in Noisy Background Based on Partial Entropy Method[J].Journal of Earth Science,2000,19(1):94-96.
-
7刘占生,武新华,夏松波.A Message Entropy Method of Learning from Examples[J].Journal of Harbin Institute of Technology(New Series),1997,4(3):10-13.
-
8石美红,赵辉,贾郑磊,雷燕,张祥俊.基于数据场的无线传感网数据双重聚类算法[J].微电子学与计算机,2016,33(2):49-53. 被引量：2
-
9Г.,ВР,马水仙.以信息理论为基础预测工艺过程状态的方法[J].国外金属加工,1999(4):60-63.
-
10闻泉,王雨时.Research on Simulation of Langlie Method Test of Fuze Arming Distance[J].Defence Technology（防务技术）,2009,5(3):221-227.
