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International Workshop on Information and Electronics Engineering (IWIEE) / International Conference on Information, Computing and Telecommunications (ICICT)

作者： Li, Guogang Lia, Yunhong Lib, Guoqiang Hebei Univ Sci & Technol Coll Sci Shijiazhuang 050018 Peoples R China

Machine learning is an important research field of application of artificial intelligence, classification algorithms is an important technology in data mining, the decision tree learning is a common method of this paper, Based on the details of typical decision tree classification algorithm - ID3 algorithm that commonly used in the field of machine learning and data mining, using the information of the statistical law that examples provided to us which simplifies the classified pruning and decision tree optimization process, and realize this algorithm by Delphi simulation experiment, has the accuracy is high, classification speed characteristics. It gives a basic principles, methods, execution, correctness proof and Performance Analysis of algorithms. (c) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology.

关键词： Induce learning classificication algorithm Statistical rule Data mining decision tree BS-CA

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Delphi Inductive algorithm Realization Based on the Statistical Theory

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Procedia Engineering 2012年 29卷 998-1002页

作者： Guogang Li Yunhong Lia Guoqiang Lib College of Sciences Hebei University of Science and Technology Shijiazhuang 050018 China Shijiazhuang City Science and Technology Information Institute 050018 Shijiazhuang China

Machine learning is an important research field of application of artificial intelligence, classification algorithms is an important technology in data mining, the decision tree learning is a common method of this paper, Based on the details of typical decision tree classification algorithm - ID3 algorithm that commonly used in the field of machine learning and data mining,using the information of the statistical law that examples provided to us which simplifies the classified pruning and decision tree optimization process, and realize this algorithm by Delphi simulation experiment, has the accuracy is high, classification speed characteristics. It gives a basic principles, methods, execution, correctness proof and Performance Analysis of algorithms.

关键词： Induce learning classificication algorithm Statistical rule Data mining decision tree BS-CA

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A kind of inductive learning classification algorithm based on statistics rule

A kind of inductive learning classification algorithm based ...

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5th International Conference on Machine Learning and Cybernetics

作者： Li, Yan Li, Fa-Chao Hebei Univ Sci & Technol Coll Sci Shijiazhuang 050018 Peoples R China Hebei Univ Sci & Technol Coll Econ & Management Shijiazhuang 050018 Peoples R China

ISBN: (纸本)1424400600

Induce learning is one of the most important research areas on application of artificial intelligence. The classification algorithm is the core of the machine learning. The article advanced a kind of decision classification algorithm that is in View of attribute value statistical regularity, on the characteristic and insufficient of ID3, C4.5 algorithm. (In short of BS-CA) This algorithm takes the statistical regularity as foundation, and takes the multiplication as comprehensive tactics, simplifying the trimming and optimization processes of decision tree. The theory analysis and experiment shows that BS-CA possesses high accuracy, high classification speed, simple and high activity.

关键词： induce learning classificication algorithm statistical rule data mining BS-CA

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A KIND OF INDUCTIVE LEARNING CLASSIFICATION algorithm BASED ON STATISTICS RULE

A KIND OF INDUCTIVE LEARNING CLASSIFICATION ALGORITHM BASED ...

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： YAN LI FA-CHAO LI College of Sciences Hebei University of Science and Technology Shijiazhuang 050018 China College of Sciences Hebei University of Science and Technology Shijiazhuang 050018 China College

Induce learning is one of the most important research areas on application of artificial intelligence. The classification algorithm is the core of the machine learning. The article advanced a kind of decision classification algorithm that is in view of attribute value statistical regularity, on the characteristic and insufficient of ID3, C4.5 algorithm. (In short of BS-CA) This algorithm takes the statistical regularity as foundation, and takes the multiplication as comprehensive tactics, simplifying the trimming and optimization processes of decision tree. The theory analysis and experiment shows that BS-CA possesses high accuracy, high classification speed,simple and high activity.

关键词： Induce learning classificication algorithm Statistical rule Data mining BS-CA

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