Art

J-GLOBAL ID：201602256406917676   Reference number：16A0969323

Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables

不完全なディシジョンテーブルに対するラフ集合ベース相互関係マイニング

Author (2)： KUDO Yasuo (Muroran Inst. of Technol., Muroran, JPN) ,  MURAI Tetsuya (Chitose Inst. of Sci. and Technol., Chitose, JPN)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 20  Issue： 5  Page： 712-720  Publication year： Sep. 20, 2016 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *decision table ,  *rough set ,  *correlation ,  Data Mining ,  association rule ,  attribute ,  characteristic ,  property
Semi thesaurus term： association mining ,  *correlation ,  character ,  similarity relation

JST classification (2)： Theory of sets  (AB10000I) ,  Other computer utilization technology  (JE14000C)

Reference (15)：

• Z. Pawlak, “Rough Sets,” Int. J. of Computer and Information Science, Vol.11, pp. 341-356, 1982.
• Z. Pawlak, “Rough Sets: Theoretical Aspects of Reasoning about Data,” Kluwer Academic Publishers, 1991.
• Z. Pawlak and A. Skowron, “Rough Sets: Some Extensions,” Information Sciences, Vol.177, pp. 28-40, 2007.
• M. Kryszkiewicz, “Rough set approach to incomplete information systems,” Information Sciences, Vol.112, pp. 39-49, 1998.
• Y. Kudo and T. Murai, “Indiscernibility Relations by Interrelationships between Attributes in Rough Set Data Analysis,” Proc. of IEEE GrC 2012, pp. 264-269, 2012.

Terms in the title (3)： ディシジョンテーブル ,  ラフ集合 ,  相互関係