2016 Fiscal Year Final Research Report
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
|
| Keywords | パターンマイニング / 系列データ |
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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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| Free Research Field |
情報学
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