| Presentation | 2000/7/19 Disposing and Restructing of Stored Time-Series Articles Based on Freshness and Popularity MA QIANG, KATSUMI TANAKA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the storage device is becoming increasing high capacity and low price, it becomes possible that archiving the contents at the user side. There is a new issue that how to manage the stored informantion at the client side. In this paper, we propose a new method to dispose and restructure the stored time-series articles based on the time-series features(freshness and popularity). |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | DE2000-31 |
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| Committee | DE |
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| Conference Date | 2000/7/19(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) | Disposing and Restructing of Stored Time-Series Articles Based on Freshness and Popularity |
| Sub Title (in English) | |
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| 1st Author's Name | MA QIANG |
| 1st Author's Affiliation | Graduate School of Science and Technology, Kobe University() |
| 2nd Author's Name | KATSUMI TANAKA |
| 2nd Author's Affiliation | Graduate School of Science and Technology, Kobe University |
| Date | 2000/7/19 |
| Paper # | DE2000-31 |
| Volume (vol) | vol.100 |
| Number (no) | 226 |
| Page | pp.pp.- |
| #Pages | 8 |
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