| Autor: |
Azuma, Ryohei, Hochin, Teruhisa, Nomiya, Hiroki, Nakanishi, Hideya, Kojima, Mamoru |
| Zdroj: |
2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing; 1/ 1/2012, p726-731, 6p |
| Abstrakt: |
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. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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