Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan

@article{Kuo2007MiningAR,
  title={Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan},
  author={R. J. Kuo and S. Y. Lin and C. W. Shih},
  journal={Expert Syst. Appl.},
  year={2007},
  volume={33},
  pages={794-808}
}
In addition to sharing and applying the knowledge in the community, knowledge discovery has become an important issue in the knowledge economic era. Data mining plays an important role of knowledge discovery. Therefore, this study intends to propose a novel framework of data mining which clusters the data first and then followed by association rules mining. The first stage employs the ant system-based clustering algorithm (ASCA) and ant K-means (AK) to cluster the database, while the ant colony… CONTINUE READING
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