2013 Fiscal Year Final Research Report
Time-series Expression by Graph Integration and Rule mining for Tend Visualization Method
| Project/Area Number |
23760358
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
System engineering
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
SAGA Ryosuke 大阪府立大学, 工学(系)研究科(研究院), 准教授 (10509178)
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| Project Period (FY) |
2011 – 2012
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| Keywords | システム情報(知識)処理 / トレンド分析 / 時系列情報可視化 |
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| Research Abstract |
This research is information visualization for time-series data. FACT-Graph has been developed for visualizing both trend visualization and relationships between data. However, there are problems that the visualization results don't express the trend change or the meanings of relationships clearly. Therefore, we propose the method to extract graphs from the separated time-series data and integrate each graph into one graph, and to attach meanings to the relationships.
As results of this research, we reported time-series visualization method by structural change point, proposal of 3 types graph integration methods, and network visualization with consideration of direction and so on
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