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| Presentation | 2007-07-02 13:30 Trend Detection under the Time Warping Machiko Toyoda, Toshikazu Ichikawa, Yasushi Sakurai (NTT)  DE2007-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Data stream is a much interest data model utilized in several domains such as finance, sensor network environment, manufacture, network monitoring. The most fundamental support needed in these applications is efficient monitoring of time series data streams, and a subsequece-matching mechanism is required. In this paper, we propose a new function to recognize the similarity between subsequences, and then present an efficient sequence matching algorithm for data streams. Several experiments with synthetic and real data sets show that our algorithm works well as expected; it can efficiently detect sequence trends in the data sets. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data Stream / Time Warping / Trend Detection / Subsequence Matching / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 107, no. 131, DE2007-28, pp. 37-42, July 2007. | |
| Paper # | DE2007-28 | |
| Date of Issue | 2007-06-25 (DE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | DE2007-28 |
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| Conference Information | |
| Committee | DE |
| Conference Date | 2007-07-02 - 2007-07-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Akiu hot springs (Sendai) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Summer Database Workshop 2007 (Data engineering, etc.) |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2007-07-DE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Trend Detection under the Time Warping |
| Sub Title (in English) | |
| Keyword(1) | Data Stream |
| Keyword(2) | Time Warping |
| Keyword(3) | Trend Detection |
| Keyword(4) | Subsequence Matching |
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| Keyword(8) | |
| 1st Author's Name | Machiko Toyoda |
| 1st Author's Affiliation | NTT Information Sharing Platform Laboratories, NTT Corporation (NTT) |
| 2nd Author's Name | Toshikazu Ichikawa |
| 2nd Author's Affiliation | NTT Information Sharing Platform Laboratories, NTT Corporation (NTT) |
| 3rd Author's Name | Yasushi Sakurai |
| 3rd Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2007-07-02 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | DE |
| Paper # | DE2007-28 |
| Volume (vol) | vol.107 |
| Number (no) | no.131 |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2007-06-25 (DE) |
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