EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 38 / No 2 (April 2020) JNWPU, 38 2 (2020) 434-441 References
Open Access
Issue
JNWPU
Volume 38, Number 2, April 2020
Page(s) 434 - 441
DOI https://doi.org/10.1051/jnwpu/20203820434
Published online 17 July 2020
  1. Yang Y, Webb G I, Wu X. Discretization Methods Data Mining and Knowledye Discovery Handbook[M]. Boston: Springer, 2009, 101–116 [CrossRef] [Google Scholar]
  2. Pawlak Z, Skowron A. Rough Sets and Boolean Reasoning[J]. Information Sciences, 2007, 177(1): 41–73 [Article] [CrossRef] [Google Scholar]
  3. Liu H, Hussain F, Tan C L, et al. Discretization:an Enabling Technique[J]. Data Mining and Knowledge Discovery, 2002, 6(4): 393–423 10.1023/A:1016304305535 [CrossRef] [Google Scholar]
  4. Tay F E H, Shen L. A Modified Chi2 Algorithm for Discretization[J]. IEEE Trans on Knowledge and Data Engineering, 2002, 14(3): 666–670 10.1109/TKDE.2002.1000349 [CrossRef] [Google Scholar]
  5. Xie Hong, Cheng Haozhong, Niu Dongxiao. Discretization Algorithm for Continuous Sets of Rough Sets Based on Information Entropy[J]. Journal of Computers, 2005, 28(9): 1570–1574 10.3321/j.issn:0254-4164.2005.09.021 (in Chinese) [Google Scholar]
  6. Kurgan L A, Cios K J. CAIM Discretization Algorithm[J]. IEEE Trans on Knowledge and Data Engineering, 2004, 16(2): 145–153 10.1109/TKDE.2004.1269594 [CrossRef] [Google Scholar]
  7. Chen Yingchun, Li O, Sun Yu. Attribute Reduction Based on Clustering Discretization and Variable Precision Neighborhood Entropy[J]. Control and Decision, 2018, 33(8): 1407–1414 [Article] (in Chinese) [Google Scholar]
  8. JIANG F, ZHAO Z, GE Y. A Supervised and Multivariate Discretization Algorithm for Rough Sets[C]//Rough Set & Knowledge Technology-International Conference, 2010 [Google Scholar]
  9. Wen L Y, Min F, Wang S Y. A Two-Stage Discretization Algorithm Based on Information Entropy[J]. Applied Intelligence,2017, 47(1): 1–17 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  10. SHARMIN S, ALI A A, KHAN M A H, et al. Feature Selection and Discretization based on Mutual Information[C]//IEEE International Conference on Imaging, 2017 [Google Scholar]
  11. Zhang Jing, Cao Feng, Tang Chao. Discretization Algorithm Based on Genetic Algorithm and Variable Precision Rough Set[J]. Journal of Huazhong Normal University, 2018, 52(3): 36–42 [Article] (in Chinese) [Google Scholar]
  12. Ghaemi M, Feizi-Derakhshi M R. Forest Optimization Algorithm[J]. Expert Systems with Applications, 2014, 41(15): 6676–6687 10.1016/j.eswa.2014.05.009 [CrossRef] [Google Scholar]
  13. Pawlak Zdzisław. Rough Sets[J]. International Journal of Computer & Information Sciences, 1982, 11(5): 341–356 [Article] [CrossRef] [Google Scholar]
  14. Ziarko W. Variable Precision Rough Set Model[J]. Journal of Computer & System Science, 1993, 46(1): 39–59 [Article] [CrossRef] [Google Scholar]
  15. Jia X, Liao W, Tang Z, et al. Minimum Cost Attribute Reduction in Decision-Theoretic Rough Set Models[J]. Information Sciences, 2013, 219(Complete): 151–167 [Article] [CrossRef] [Google Scholar]
  16. Chaghari A, Feizi-Derakhshi M R, Balafar M A. Fuzzy Clustering Based on Forest Optimization Algorithm[J]. Journal of King Saud University-Computer and Information Sciences, 2018, 30(1): 25–32 10.1016/j.jksuci.2016.09.005 [CrossRef] [Google Scholar]
  17. Nie Digan. Improvement and Discretization of Forest Optimization Algorithms[D]. Lanzhou: Lanzhou University, 2016(in Chinese) [Google Scholar]
  18. Jiang F, Sui Y. A Novel Approach for Discretization of Continuous Attributes in Rough Set Theory[J]. Knowledge-Based Systems, 2015, 73: 324–334 10.1016/j.knosys.2014.10.014 [CrossRef] [Google Scholar]
  19. Clááudio Rebelo de Sá, Soares C, Knobbe A. Entropy-Based Discretization Methods for Ranking Data[J]. Information Sciences, 2016, 329:921–936 10.1016/j.ins.2015.04.022 [CrossRef] [Google Scholar]
  20. Khanmohammadi S, Chou C A. A Gaussian Mixture Model Based Discretization Algorithm for Associative Classification of Medical Data[J]. Expert Systems with Applications, 2016, 58:119–129 10.1016/j.eswa.2016.03.046 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.