A New Stage of Rough Sets Incomplete Information Analysis and Its application t Data Mining
| Project/Area Number |
22500204
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
SAKAI Hiroshi 九州工業大学, 工学研究院, 教授 (60201513)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ラフ集合 / 不完全情報 / データマイニング / アプリオリアルゴリズム / 粒状計算 / 相関ルール / 非決定情報 / ソフトコンピューティング |
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| Research Abstract |
We coped with rough set theory and rough sets-based data mining. We have theoretically extended rough sets-based concepts in a standard table to concepts in a table with non-deterministic information. Especially in rule generation from a table, we have proposed NIS-Apriori algorithm, which can handle tables with non-deterministic information and the computational complexity is almost the same as the original Apriori algorithm. Furthermore, NIS-Apriori is sound and complete for rules defined in a table with non-deterministic information. We have practically implemented software in C and Prolog, and opened the execution logs in the web page. Currently, we are touching a prototype of a web version with NIS-Apriori.
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Report
(4 results)
Research Products
(51 results)
