Pattern mining in dynamic networks constructed from sequential data
| Project/Area Number |
26330262
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Nihon University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | パターンマイニング / 系列データ / データマイニング / パタンマイニング / ネットワーク分析 |
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| Outline of Final Research Achievements |
In this research, to develop fundamental technologies on pattern mining from text stream in social media and multi-dimensional time series data in sensor networks, we proposed a method for constructing dynamic networks from text and/or numerical stream as well as a method for converting multi-dimensional time series data into a sequence of interval-based events.
In addition, we conducted analysis on social media, news, purchasing behavior and stock prices, to get insight on these relationship and burst phenomenon.
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Report
(4 results)
Research Products
(14 results)
