Paper
12 March 2002 Software tool for data mining and its applications
Jie Yang, Chenzhou Ye, Nianyi Chen
Author Affiliations +
Abstract
A software tool for data mining is introduced, which integrates pattern recognition (PCA, Fisher, clustering, hyperenvelop, regression), artificial intelligence (knowledge representation, decision trees), statistical learning (rough set, support vector machine), 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, Hyper Envelop, support vector machine, visualization. The principle and knowledge representation of some function models of data mining are described. The software tool of data mining is realized by Visual C++ under Windows 2000. Nonmonotony in data mining is dealt with by concept hierarchy and layered mining. The software tool of data mining has satisfactorily applied in the prediction of regularities of the formation of ternary intermetallic compounds in alloy systems, and diagnosis of brain glioma.
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Jie Yang, Chenzhou Ye, and Nianyi Chen "Software tool for data mining and its applications", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460251
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KEYWORDS
Data mining

Fuzzy logic

Data modeling

Visualization

Genetic algorithms

Neural networks

Pattern recognition

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