Results 201 to 210 of about 4,806,455 (222)

Applications of ID3 algorithms in computer crime forensics

2011 International Conference on Multimedia Technology, 2011
ID3 is a kind of classical classification algorithm of data mining. It classifies the data set which depends on the property with more value, but the selected property is not optimal. According to the particular area of computer crime forensics and the shortcomings of ID3 algorithm itself, this paper proposes an improved ID3 algorithm.
Jingyu Wang, Yuesheng Tan, Zhansheng Qi
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Building fuzzy neural classifiers by fuzzy ID3 algorithm

Proceedings of Third International Conference on Signal Processing (ICSP'96), 2002
This paper proposes a new method to building a fuzzy neural classifier which could be thought as a fuzzy system completed with a neural network. First we need to obtain an initial rule-based fuzzy classifier, then convert this system into a multilayer feedforward neural network architecture. Recently, automatically generating fuzzy rules from numerical
Qian Yun-Tao, Xie Wei-xin
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Fuzzy fast classification algorithm with hybrid of ID3 and SVM

Journal of Intelligent & Fuzzy Systems, 2013
The Classification of data is usually very large database that is the reason we want to classify the large data into different fragmentation of its same type. Already many algorithms have been used for classification like Id3, rule based algorithm, decision tree based algorithm, k-nearest-neighbor classification and so on.
J. Vandar Kuzhali, V. Srinivasan, G. Rajenderan, M. Aruna   +3 more
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An Improved ID3 Algorithm Based on Attribute Importance-Weighted

2010 2nd International Workshop on Database Technology and Applications, 2010
For the problems of large computational complexity and splitting attribute selection inclining to choose the attribute which has many values in ID3 algorithm,this paper presents an improved algorithm based on the Information Entropy and Attribute Weights.In the improved algorithm,it has been combined with the Taylor's theorem and Attribute Similarity ...
Wendong Zhang, Hongwu Luo, Yongjie Chen
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Study of the Learning Model Based on Improved ID3 Algorithm

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
The network learning behavior intelligence analysis system can collect the information of learner's psychology, behavior, methods and effectiveness in the learning process, and classify learners by using the ID3 algorithm based on the internal factors and personality characteristics of learners that influence the learning effect.
Ding Rongtao, Ren Wei, Ji Xinhao, Zhu Linting   +3 more
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The Air Cargo Strategy Based on Apriori and ID3 Algorithm

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, 2009
This article mines the air cargo customer information and establishes the decision tree of the ID3 association rules from the ID3 algorithm. It finds frequent customer information using Apriori algorithm and finally gets the best combination of customer information. The combination has some significance on the development of air cargo.
Zhong Wu, Hongyan Li, Cheng Li
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Application of ID3 algorithm in knowledge acquisition for tolerance design

Journal of Materials Processing Technology, 2001
Abstract Knowledge-processing technology can be used to aid engineering design. This paper presents the application of an ID3 algorithm in knowledge acquisition for the tolerance design of injection-molded parts. The overall structure of a knowledge-based system for tolerance design is briefly illustrated.
Yubao Chen, Guojun Zhang, Peigen Li, Xinyu Shao   +3 more
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Application of Decision Tree ID3 Algorithm in Tax Policy Document Recognition

SPIoT, 2021
Chao-Yi Pang
semanticscholar   +1 more source

Classifying Continuous Data Set by ID3 Algorithm

2005 5th International Conference on Information Communications & Signal Processing, 2006
This paper presents a modified version of the ID3 algorithm. The goal is to build the decision tree for classifying the continuous data set. An example in the training data set composes of some input features (attributes) and one predicate output. A proper feature ordering produces a shallow decision tree, which spends a logarithm time in classifying a
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Fuzzy ID3 Algorithm Based on Generating Hartley Measure

2011
Fuzzy decision tree induction algorithm is an important way with uncertain information. However, the current fuzzy decision tree algorithms do not systematically consider the impact of different fuzzy levels and simply make uncertainty treatment awareness into the selection of extended properties.
Dandan Jiang, Fa-chao Li
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