Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables

• Kudo Yasuo

  College of Information and Systems, Graduate School of Engineering, Muroran Institute of Technology

• Murai Tetsuya

  Faculty of Science and Technology, Chitose Institute of Science and Technology

抄録

Rough-set-based interrelationship mining enables to extract characteristics by comparing the values of the same object between different attributes. To apply this interrelationship mining to incomplete decision tables with null values, in this study, we discuss the treatment of null values in interrelationships between attributes. We introduce three types of null values for interrelated condition attributes and formulate a similarity relation by such attributes with these null values.

収録刊行物

• Journal of Advanced Computational Intelligence and Intelligent Informatics

  Journal of Advanced Computational Intelligence and Intelligent Informatics 20 (5), 712-720, 2016-09-20

  富士技術出版株式会社

キーワード

• interrelationship mining
• incomplete decision tables
• rough set
• similarity relation

詳細情報

• CRID: 1390845713080450944
• NII論文ID: 130007673344
• NII書誌ID: AA12042502
• DOI: 10.20965/jaciii.2016.p0712
• ISSN: 18838014
• ISSN: 13430130
• HANDLE: 10258/00010160
• NDL書誌ID: 027654595
• Web Site: https://muroran-it.repo.nii.ac.jp/records/10213
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027654595
• Web Site: https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=JACII002000050005
• 本文言語コード: en
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