Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes

Author:

Dong Lianjie,Chen Degang

Funder

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference49 articles.

1. Bazan J (2000) Chapter 17 A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. Rough sets in knowledge discovery 1. Physica-Verlag HD

2. Bang W, Bien Z (2007) Incremental inductive learning algorithm in the framework of rough set theory and its application. Int J Fuzzy Syst 1:25–36

3. Chen DG, Yang YY (2014) Attribute reduction for heterogeneous data based on the combination of classical and fuzzy rough set models. IEEE Trans Fuzzy Syst 22(5):1325–1334

4. Chen DG (2013) Fuzzy rough set theory and method. Beijing, China

5. Chen DG, Zhao SY, Zhang L, Yang YY, Zhang X (2012) Sample pair selection for attribute reduction with rough set. IEEE Trans Knowl Data Eng 24(11):2080–2093

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