Application of Rough Set-Based Information Analysis to Questionnaire Data
-
- Yamaguchi Naoto
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
-
- Wu Mao
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
-
- Nakata Michinori
- Faculty of Management and Information Science, Josai International University
-
- Sakai Hiroshi
- Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology
Search this article
Abstract
<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>
Journal
-
- Journal of Advanced Computational Intelligence and Intelligent Informatics
-
Journal of Advanced Computational Intelligence and Intelligent Informatics 18 (6), 953-961, 2014-11-20
Fuji Technology Press Ltd.
- Tweet
Details 詳細情報について
-
- CRID
- 1390001288149799040
-
- NII Article ID
- 130007673159
-
- NII Book ID
- AA12042502
-
- ISSN
- 18838014
- 13430130
-
- NDL BIB ID
- 025970341
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed