2012 Fiscal Year Final Research Report
Development of a Kansei data mining system based on random rough sets
Project/Area Number |
23700244
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Sensitivity informatics/Soft computing
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Research Institution | Muroran Institute of Technology |
Principal Investigator |
KUDO Yasuo 室蘭工業大学, 工学研究科, 准教授 (90360966)
|
Project Period (FY) |
2011 – 2012
|
Keywords | あいまいと感性 |
Research Abstract |
In this study, we proposed a random rough set model by introducing a concept of ensemble learning to rough sets. We also developed a Kansei data mining system based on the random rough set model and evaluated the developed system by experiments. Consequently, our study contributed the development of essential basis of rough set-based data mining for Kansei data with many samples and attributes.
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Research Products
(9 results)