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 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Muroran Institute of Technology |
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Principal Investigator |
KUDO Yasuo 室蘭工業大学, 工学研究科, 准教授 (90360966)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | あいまいと感性 / データマイニング / ラフ集合 / 統計的集団学習 / 縮約計算 |
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| 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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Report
(3 results)
Research Products
(18 results)
