Study on Knowledge Discovery by Genetic Network Programming and Its Applications
| Project/Area Number |
21700261
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Yamaguchi University (2012)
Waseda University (2009-2011) |
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Principal Investigator |
MABU Shingo 山口大学, 大学院・理工学研究科, 助教 (70434321)
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 遺伝アルゴリズム / プログラム生成 / データマイニング / 学習 / 進化論的計算手法 / 遺伝的アルゴリズム / 侵入検知システム |
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| Research Abstract |
In this research, learning and evolution algorithms of Genetic Network Programming and its applications to data mining were studied. The proposed algorithms of learning and evolution create programs that can adapt to various situations and environmental changes. In the applications to data mining, network intrusion detection systems were created and high detection rates were shown, and rule extraction mechanisms were proposed to obtain buying and selling rules according to the trends in stock markets.
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Report
(5 results)
Research Products
(23 results)
