A survey on duplicate record detection in real world data

Abstract

Duplicate can be defined as Same entities have two or more representations in the database. The process of finding the multiple representations of same real world entities is called duplicate detection. Detection of duplicates should be fast in large and small datasets. The duplicate detection methods should find the duplicates in shorter time and at the same time quality of the data set should be maintained. In this paper, we present a thorough analysis of literature survey on adaptive and progressive duplicate detection techniques.