Application of Rough Set-Based Information Analysis to Questionnaire Data
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- Yamaguchi Naoto
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
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- Wu Mao
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
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- Nakata Michinori
- Faculty of Management and Information Science, Josai International University
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- Sakai Hiroshi
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
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<p>This article reports an application of Rough Nondeterministic Information Analysis (RNIA) to two data sets. One is the Mushroom data set in the UCI machine leaning repository, and the other is a student questionnaire data set. Even though these data sets include many missing values, we obtained some interesting rules by using our getRNIA software tool. This software is powered by the NIS-Apriori algorithm, and we apply rule generation and question-answering functionalities to data sets with nondeterministic values.</p>
収録刊行物
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- Journal of Advanced Computational Intelligence and Intelligent Informatics
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Journal of Advanced Computational Intelligence and Intelligent Informatics 18 (6), 953-961, 2014-11-20
富士技術出版株式会社
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詳細情報 詳細情報について
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- CRID
- 1390001288149799040
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- NII論文ID
- 130007673159
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- NII書誌ID
- AA12042502
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- ISSN
- 18838014
- 13430130
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- NDL書誌ID
- 025970341
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可