An efficient approach for data-duplication detection based on RDBMS
Data-duplication is one of the most important issues in the context of information system management. Instead of storing a single real-world object as an entity in an information system, the duplication, storing more than one entity representing a single object, can be occurred. This problem can dec...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-79960398890&partnerID=40&md5=f4fa768c0206dcfec0556f50648b98af http://cmuir.cmu.ac.th/handle/6653943832/1559 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Language: | English |
id |
th-cmuir.6653943832-1559 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-15592014-08-29T09:29:27Z An efficient approach for data-duplication detection based on RDBMS Chanhom K. Natwichai J. Data-duplication is one of the most important issues in the context of information system management. Instead of storing a single real-world object as an entity in an information system, the duplication, storing more than one entity representing a single object, can be occurred. This problem can decrease the quality of service of information systems. In this paper, we propose an efficient approach to detect the duplication based on the RDBMS foundation. Our approach is based on the assumption that the data to be processed have been stored in the RDBMS at the first place. Thus, the proposed approach does not require the data to be imported/exported from the storage. Also, such approach will benefit from the query optimizer of the RDBMS. The experiment results on the TPC-H dataset have been presented to validate such proposed work. © 2011 IEEE. 2014-08-29T09:29:27Z 2014-08-29T09:29:27Z 2011 Conference Paper 9.78146E+12 10.1109/JCSSE.2011.5930142 85529 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960398890&partnerID=40&md5=f4fa768c0206dcfec0556f50648b98af http://cmuir.cmu.ac.th/handle/6653943832/1559 English |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
language |
English |
description |
Data-duplication is one of the most important issues in the context of information system management. Instead of storing a single real-world object as an entity in an information system, the duplication, storing more than one entity representing a single object, can be occurred. This problem can decrease the quality of service of information systems. In this paper, we propose an efficient approach to detect the duplication based on the RDBMS foundation. Our approach is based on the assumption that the data to be processed have been stored in the RDBMS at the first place. Thus, the proposed approach does not require the data to be imported/exported from the storage. Also, such approach will benefit from the query optimizer of the RDBMS. The experiment results on the TPC-H dataset have been presented to validate such proposed work. © 2011 IEEE. |
format |
Conference or Workshop Item |
author |
Chanhom K. Natwichai J. |
spellingShingle |
Chanhom K. Natwichai J. An efficient approach for data-duplication detection based on RDBMS |
author_facet |
Chanhom K. Natwichai J. |
author_sort |
Chanhom K. |
title |
An efficient approach for data-duplication detection based on RDBMS |
title_short |
An efficient approach for data-duplication detection based on RDBMS |
title_full |
An efficient approach for data-duplication detection based on RDBMS |
title_fullStr |
An efficient approach for data-duplication detection based on RDBMS |
title_full_unstemmed |
An efficient approach for data-duplication detection based on RDBMS |
title_sort |
efficient approach for data-duplication detection based on rdbms |
publishDate |
2014 |
url |
http://www.scopus.com/inward/record.url?eid=2-s2.0-79960398890&partnerID=40&md5=f4fa768c0206dcfec0556f50648b98af http://cmuir.cmu.ac.th/handle/6653943832/1559 |
_version_ |
1681419693070483456 |