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DMiner-I: A software tool of data mining and its applications

Published online by Cambridge University Press:  06 September 2002

Jie Yang,
Chenzhou Ye and
Nianyi Chen
Jie Yang
Affiliation:
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030 (China)
Chenzhou Ye
Affiliation:
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030 (China)
Nianyi Chen
Affiliation:
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030 (China)
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Summary

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A software tool for data mining (DMiner-I) is introduced, which integrates pattern recognition (PCA, Fisher, clustering, HyperEnvelop, regression), artificial intelligence (knowledge representation, decision trees), statistical learning (rough set, support vector machine), and computational intelligence (neural network, genetic algorithm, fuzzy systems). It consists of nine function models: pattern recognition, decision trees, association rule, fuzzy rule, neural network, genetic algorithm, HyperEnvelop, support vector machine and visualization. The principle, algorithms and knowledge representation of some function models of data mining are described. Nonmonotony in data mining is dealt with by concept hierarchy and layered mining. The software tool of data mining is realized by Visual C++ under Windows 2000. The software tool of data mining has been satisfactorily applied in the prediction of regularities of the formation of ternary intermetallic compounds in alloy systems, and diagnosis of brain glioma.

Keywords

Data miningKnowledge representationDecision treesBrain glioma diagnosis

Information

Type
Research Article
Information
Robotica , Volume 20 , Issue 5 , September 2002, pp. 499 - 508
Copyright
Copyright © Cambridge University Press 2002

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