Platform construction for hierarchical structure analysis of large scale spatio-temporal data and its application
| Project/Area Number |
26330041
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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 |
Statistical science
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| Research Institution | Okayama University |
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Principal Investigator |
Kurihara Koji 岡山大学, 環境生命科学研究科, 教授 (20170087)
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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 |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 時空間情報 / エシェロン解析 / ホットスポット / 空間データ / 大規模データ / 放射能データ / 集積性 / 階層構造 |
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| Outline of Final Research Achievements |
In this study, we have constructed a platform with a unified framework for hierarchical classification of in-phase and hotspot detection in a Markov random field where multivariate information is observed in spatiotemporal space. In addition, we established a new method on true integration and complexity for multivariate spatiotemporal information including large-scale information. We also created algorithms and software for hotspot detection and regional structure analysis in a unified framework for each field.
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Report
(4 results)
Research Products
(32 results)
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[Journal Article] Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis2014
Author(s)
Hayashi, K., Ishioka, F. Raman, B., Sze, D., Suito, H., Ueda, T. and Kurihara, K.
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Journal Title
Analysis and Modeling of Complex Data in Behavioural and Social Sciences, (Edited by D. Vicari, A. Okada, G. Ragozini, C. Weihs), Springer
Volume: 1
Pages: 143-151
Related Report
Peer Reviewed
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[Journal Article] Assessment of the Relationship Between Native Thoracic Curvature and Endoleak Formation after TEVAR Based on Linear Discriminant Analysis2014
Author(s)
HayashiI, K., Ishioka, F., Raman, B., Sze, Y., Suito, H., Ueda, T. and Kurihara, K.
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Journal Title
German-Japanese Interchange of Data Analysis Results, (Edited by W. Gaul et al.) Springer
Volume: 1
Pages: 179-192
DOI
ISBN
9783319012636, 9783319012643
Related Report
Peer Reviewed
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[Presentation] A novel approach for comparing spatial data obtained by different measurement systems.2015
Author(s)
Oda, M., Koljonen, S., Ishioka, F., Alho, P., Suito, H., Huttula, T., and Kurihara, K.
Organizer
The 9th Conference of the Asian Regional Section of the IASC
Place of Presentation
Singapore
Year and Date
2015-12-17
Related Report
Int'l Joint Research / Invited
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