2016 Fiscal Year Final Research Report
Development of Advanced Database Technologies for Mobility Data Analytics
| Project/Area Number |
25280039
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
肖 川 名古屋大学, 高等研究院(情), YLC特任助教 (10643900)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | モビリティデータ / データアナリティクス / 時空間データベース / 移動軌跡 / 問合せ処理 / データストリーム / イベント処理 / データウェアハウス |
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| Outline of Final Research Achievements |
Since it is easy to obtain big data of trajectories of mobile users and automobiles, new technologies to analyze and make effective use of such data are needed. In this research, we call this problem mobility data analytics and studied its base technologies.
Especially, our research include followings: 1) trajectory data mining methods for acquiring high-level knowledge from trajectory data, 2) spatial database query processing methods that considers uncertainty of location information, 3) effective data stream processing methods since mobile data is often available as data streams, and 4) data warehouse technologies for analyzing spatio-temporal data.
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| Free Research Field |
データベース・データ工学
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