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Detecting Duplicate Records - A Case Study

Authors(4) :-T. Parimalam, R. Deepa, R. Nirmala Devi, P. Yamuna Devi

Databases play an important role in today's IT based economy. Many industries and systems depend on the accuracy of databases to carry out operations. Therefore, the quality of the information stored in the databases, can have significant cost implications to a system that relies on information to function and conduct business. Often, in the real world, entities have two or more representations in databases. Duplicate detection is the process of identifying multiple representations of same real world entities. The purpose of this paper is to provide a thorough study on different methods used for detecting duplicate records. And also this paper discussed about the different duplication detection tools in detail.

Authors and Affiliations

T. Parimalam
Department of Computer Science, Nandha Arts and Science College, Erode, Tamil Nadu, India
R. Deepa
Department of Computer Science, Nandha Arts and Science College, Erode, Tamil Nadu, India
R. Nirmala Devi
Department of Computer Science, Nandha Arts and Science College, Erode, Tamil Nadu, India
P. Yamuna Devi
Department of Computer Science, Nandha Arts and Science College, Erode, Tamil Nadu, India

Database, Duplicate Detection, Records

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Publication Details

Published in : Volume 1 | Issue 5 | September-October 2015
Date of Publication : 2015-10-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 290-294
Manuscript Number : IJSRSET151563
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

T. Parimalam, R. Deepa, R. Nirmala Devi, P. Yamuna Devi, " Detecting Duplicate Records - A Case Study, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.290-294, September-October.2015
URL : http://ijsrset.com/IJSRSET151563

Manuscript Number : IJSRSET151563

Detecting Duplicate Records - A Case Study