RSBR_

Meningitis data mining by cooperatively using GDT-RS and RSBR. This paper describes an application of two rough sets based systems, namely Generalized Distribution Table and Rough Set (GDT-RS) and Rough Sets with Boolean Reasoning (RSBR) respectively, for mining if-then rules in a meningitis dataset. GDT-RS is a soft hybrid induction system, and RSBR is used for discretization of real valued attributes as a pre-processing step realized before the GDT-RS starts. We argue that discretization of continuous valued attributes is an important pre-processing step in the rule discovery process. We illustrate the quality of rules discovered by GDT-RS is strongly affected by the result of discretization.


References in zbMATH (referenced in 17 articles , 1 standard article )

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  1. Liu, Yaya; Qin, Keyun; Rao, Chang; Mahamadu, Mahamuda Alhaji: Object-parameter approaches to predicting unknown data in an incomplete fuzzy soft set (2017)
  2. Colomo-Palacios, Ricardo; González-Carrasco, Israel; López-Cuadrado, José Luis; García-Crespo, Ángel: ReSySTER: a hybrid recommender system for scrum team roles based on fuzzy and rough sets (2012)
  3. Qin, Hongwu; Ma, Xiuqin; Herawan, Tutut; Zain, Jasni Mohamad: DFIS: a novel data filling approach for an incomplete soft set (2012)
  4. Bodjanova, Slavka; Kalina, Martin: Gradual evaluation of granules of a fuzzy relation: R-related sets (2010)
  5. Sikora, Marek: Decision rule-based data models using TRS and NetTRS -- methods and algorithms (2010) ioport
  6. Al-Qaheri, Hameed; Hassanien, Aboul Ella; Abraham, Ajith: A generic scheme for generating prediction rules using rough sets (2009)
  7. Yang, Yong; Wang, Guoyin; Kong, Hao: Self-learning facial emotional feature selection based on rough set theory (2009)
  8. Yao, Yiyu: Probabilistic rough set approximations (2008)
  9. Pawlak, Zdzisław; Skowron, Andrzej: Rudiments of rough sets (2007)
  10. Sikora, Marek: Rule quality measures in creation and reduction of data rule models (2006)
  11. Zhong, Ning; Dong, Ju-Zhen; Ohsuga, Setsuo: Meningitis data mining by cooperatively using GDT-RS and RSBR. (2003)
  12. Miyahara, Tetsuhiro; Suzuki, Yusuke; Shoudai, Takayoshi; Uchida, Tomoyuki; Takahashi, Kenichi; Ueda, Hiroaki: Discovery of frequent tag tree patterns in semistructured web documents (2002)
  13. Zhong, Ning; Dong, Juzhen: Mining interesting rules in meningitis data by cooperatively using GDT-RS and RSBR (2002)
  14. Zhong, Ning; Dong, Ju-Zhen; Yao, Y.Y.; Ohsuga, Setsuo: Gastric cancer data mining with ordered information (2002)
  15. Zhong, Ning; Matsunaga, Takahisa; Liu, Chunnian: A text mining agents based architecture for personal e-mail filtering and management (2002)
  16. Zhong, Ning; Dong, Ju-Zhen; Ohsuga, Setsuo: Meningitis data mining by cooperatively using GDT-RS and RSBR (2001)
  17. Zhong, Ning; Skowron, Andrzej: A rough set-based knowledge discovery process (2001)