An incremental attribute reduction method for dynamic data mining

@article{Jing2018AnIA,
  title={An incremental attribute reduction method for dynamic data mining},
  author={Yunge Jing and Tianrui Li and Hamido Fujita and Baoli Wang and Ni Cheng},
  journal={Inf. Sci.},
  year={2018},
  volume={465},
  pages={202-218}
}
Abstract As an important preprocessing step for data mining, attribute reduction has become a hot research topic in rough set theory. In practice, many real data may vary dynamically with time, therefore, reduct will change dynamically under the variation of objects and attributes in decision systems. The classical attribute reduction methods need to recompute from scratch, which are ineffective to deal with dynamic decision systems. How to implement updating reducts by utilizing previous… CONTINUE READING
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