An integrated framework for visualized and exploratory pattern discovery in mixed data

@article{Hsu2006AnIF,
  title={An integrated framework for visualized and exploratory pattern discovery in mixed data},
  author={Chung-Chian Hsu and Sheng-Hsuan Wang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2006},
  volume={18},
  pages={161-173}
}
Data mining uncovers hidden, previously unknown, and potentially useful information from large amounts of data. Compared to the traditional statistical and machine learning data analysis techniques, data mining emphasizes providing a convenient and complete environment for the data analysis. In this paper, we propose an integrated framework for visualized, exploratory data clustering, and pattern extraction from mixed data. We further discuss its implementation techniques: a generalized self… CONTINUE READING

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