| Presentation | 2010-12-06 Multi Data Stream Prediction Method using Cluster Correlation Table Kenji ARAI, Yoh SHIRAISHI, Osamu TAKAHASHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, stream mining researchers have much attention and the techniques for treatment data stream to process efficiently enormous data from sensor and interne are expected to develop. Above all, a lot of researcher is study about the technologies that predict the future data of data stream. In this paper, we guess that some correlation exists between the pair of data stream is measured same time at similar environment and those correlations improve the precision of prediction data stream. Therefore, we show the technique to get the correlation from multi data stream and predict data stream using the correlation from those. In addition, we examine the efficacy of our technique. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Data Stream / Stream Prediction / Clustering / Correlation |
| Paper # | DE2010-35 |
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| Committee | DE |
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| Conference Date | 2010/11/29(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi Data Stream Prediction Method using Cluster Correlation Table |
| Sub Title (in English) | |
| Keyword(1) | Data Stream |
| Keyword(2) | Stream Prediction |
| Keyword(3) | Clustering |
| Keyword(4) | Correlation |
| 1st Author's Name | Kenji ARAI |
| 1st Author's Affiliation | Graduate School of Systems Information Science, Future University Hakodate() |
| 2nd Author's Name | Yoh SHIRAISHI |
| 2nd Author's Affiliation | School of System Information Science, Future University Hakodate |
| 3rd Author's Name | Osamu TAKAHASHI |
| 3rd Author's Affiliation | School of System Information Science, Future University Hakodate |
| Date | 2010-12-06 |
| Paper # | DE2010-35 |
| Volume (vol) | vol.110 |
| Number (no) | 328 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |