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ホウチン テルヒサ
Teruhisa Hochin
寶珍 輝尚 所属 追手門学院大学 理工学部 情報工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2012/08 |
| 形態種別 | 紀要(First author) |
| 査読 | 査読あり |
| 標題 | Towards parallel processing of similarity retrieval system of time series |
| 執筆形態 | 共著・編著（代表編著を除く） |
| 掲載誌名 | Proceedings - 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012 |
| 掲載区分 | 国外 |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.726-731 |
| 著者・共著者 | Ryohei Azuma,Teruhisa Hochin,Hiroki Nomiya,Hideya Nakanishi,Mamoru Kojima |
| 概要 | This paper uses Postgre SQL, a database management system, in the data management of the similarity retrieval of subsequences of waveforms. By using Postgre SQL, the management of data could become easy, and a multi-dimensional index structure named the R tree could be used. This paper examines the parallel processing of the similarity retrieval by dividing a table into several tables. It is shown that high retrieval performance can easily be obtained by using a high performance computer. It is shown that using Postgre SQL could make the division of a table easy because R tree indexes are automatically constructed. © 2012 IEEE. |
| DOI | 10.1109/SNPD.2012.86 |
| DBLP ID | conf/snpd/AzumaHNNK12 |
| PermalinkURL | http://xplorestaging.ieee.org/ielx5/6298768/6299233/06299363.pdf?arnumber=6299363 |