Duplicate record detection: A survey

Ahmed K. Elmagarmid, Panagiotis G. Ipeirotis, Vassilios S. Verykios

Research output: Contribution to journalArticle

1232 Citations (Scopus)

Abstract

Often, in the real world, entitles have two or more representations In databases. Duplicate records do not share a common key and/or they contain errors that make duplicate matching a difficult task. Errors are introduced as the result of transcription errors, incomplete information, lack of standard formats, or any combination of these factors. In this paper, we present a thorough analysis of the literature on duplicate record detection. We cover similarity metrics that are commonly used to detect similar field entries, and we present an extensive set of duplicate detection algorithms that can detect approximately duplicate records in a database. We also cover multiple techniques for improving the efficiency and scalability of approximate duplicate detection algorithms. We conclude with coverage of existing tools and with a brief discussion of the big open problems in the area.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalIEEE Transactions on Knowledge and Data Engineering
Volume19
Issue number1
DOIs
Publication statusPublished - 1 Jan 2007

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Keywords

  • Data cleaning
  • Data deduplication
  • Data integration
  • Database hardening
  • Duplicate detection
  • Entity matching
  • Entity resolution
  • Fuzzy duplicate detection
  • Identity uncertainty
  • Instance identification
  • Name matching
  • Record linkage

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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