Granulating data on non-scalar attribute values

@article{Mazlack2002GranulatingDO,
  title={Granulating data on non-scalar attribute values},
  author={Lawrence J. Mazlack and Sarah Coppock},
  journal={2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)},
  year={2002},
  volume={2},
  pages={944-949 vol.2}
}
Data mining discovers interesting information from a data set. Mining incorporates different methods and considers different kinds of information. Granulation is an important aspect of mining. The data sets can be extremely large with multiple kinds of data in high dimensionality. Without granulation, large data sets often are computationally infeasible; and, the generated results may be overly fine grained. Most available algorithms work with quantitative data. However, many data sets contain… CONTINUE READING

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