A Study of Classification Algorithm for Data Mining Based on Hybrid Intelligent Systems

@article{Wang2008ASO,
  title={A Study of Classification Algorithm for Data Mining Based on Hybrid Intelligent Systems},
  author={G. Wang and Chenghong Zhang and L. Huang},
  journal={2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing},
  year={2008},
  pages={371-375}
}
  • G. Wang, Chenghong Zhang, L. Huang
  • Published 2008
  • Computer Science
  • 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
  • Facing the huge amounts of data, the familiar classification algorithms show the shortages on time efficiency, robustness and accuracy. So this article puts the Hybrid Intelligent Systems into the research of classification algorithm. Based on the cognitive psychology and aggregative model theory, the article proposes a new Hybrid Intelligent System: R-FC-DENN, according to Rough Set, Clustering theory, Fuzzy Logic, Genetic Algorithm and Artificial Neural Network. Firstly, R-FC-DENN uses the… CONTINUE READING
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