| Project/Area Number |
23700244
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Sensitivity informatics/Soft computing
|
|---|
| 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
|
| Project Status |
Completed (Fiscal Year 2012)
|
| 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)
|
|---|
| 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 |
|---|
| 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.
|
