Spatio-Temporal Data Mining Systems and Algorithms that Preserves Privacy
| Project/Area Number |
19500123
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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 |
Intelligent informatics
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| Research Institution | Hiroshima University |
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Principal Investigator |
MORIMOTO Yasuhiko Hiroshima University, 大学院・工学研究院, 准教授 (00363010)
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| Project Period (FY) |
2007 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2007: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | データマイニング / プライバシー / 地理情報システム / 時空間データベース / 時空間データマイニング / スカイライン問い合わせ / セキュリティ / テキストマイニング / 暗号化データベース / 属性選択 / 個人情報保護 / 空間問い合わせ / 匿名性 / 多様性 / Compromise |
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| Research Abstract |
Recently, we have to be aware of individual's privacy when we handle databases. However, conventional data mining functions cannot prevent individual's privacy well enough. The proposed research has been trying to solve this privacy problem of data mining. We have developed privacy preserving pattern mining functions and query functions. Those functions use groups instead of individual records and do not have to output individual records' values such as exact spatio-temporal information of individuals.
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Report
(6 results)
Research Products
(52 results)
