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Discovery of Cross-Similarity in Data Streams
http://hdl.handle.net/2237/14467
http://hdl.handle.net/2237/144671c8b355c-3772-4a12-83ba-f9cb674fcefa
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
1014.pdf (482.6 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2011-02-14 | |||||
| タイトル | ||||||
| タイトル | Discovery of Cross-Similarity in Data Streams | |||||
| 言語 | en | |||||
| 著者 |
Toyoda, Machiko
× Toyoda, Machiko× Sakurai, Yasushi |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In this paper, we focus on the problem of finding partial similarity between data streams. Our solution relies on dynamic time warping (DTW) as a similarity measure, which computes the distance between sequences whose lengths and/or sampling rates are different. Instead of straightforwardly using DTW that requires a high computation cost, we propose a streaming method that efficiently detects partial similarity between sequences. Our experiments demonstrate that our method detects pairs of optimal subsequences correctly and that it significantly reduces resources in terms of time and space. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/ICDE.2010.5447927 | |||||
| ISBN | ||||||
| 関連タイプ | isPartOf | |||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-1-4244-5445-7 | |||||
| 書誌情報 |
en : IEEE 26th International Conference on Data Engineering (ICDE) p. 101-104, 発行日 2010 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/14467 | |||||
| 識別子タイプ | HDL | |||||
| URI | ||||||
| 識別子 | http://dx.doi.org/10.1109/ICDE.2010.5447927 | |||||
| 識別子タイプ | DOI | |||||
