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  1. Proceedings of the 2nd international workshop on Information quality in information systems (IQIS '05)
  2. Blocking-aware private record linkage
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Handling data quality in entity resolution
Methods and analyses for determining quality
Provider issues in quality-constrained data provisioning
Exploiting relationships for object consolidation
Approximate matching of textual domain attributes for information source integration
Making quality count in biological data sources
Blocking-aware private record linkage
Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example
ETL queues for active data warehousing
Effective and scalable solutions for mixed and split citation problems in digital libraries
Data cleaning using belief propagation
An event based framework for improving information quality that integrates baseline models, causal models and formal reference models
Data quality inference

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Blocking-aware private record linkage

Content Provider ACM Digital Library
Author Al-Lawati, Ali Lee, Dongwon McDaniel, Patrick
Abstract In this paper, the problem of quickly matching records (i.e., record linkage problem) from two autonomous sources without revealing privacy to the other parties is considered. In particular, our focus is to devise secure blocking scheme to improve the performance of record linkage significantly while being secure. Although there have been works on private record linkage, none has considered adopting the blocking framework. Therefore, our proposed blocking-aware private record linkage can perform large-scale record linkage without revealing privacy. Preliminary experimental results showing the potential of the proposal are reported.
Starting Page 59
Ending Page 68
Page Count 10
File Format PDF
ISBN 1595931600
DOI 10.1145/1077501.1077513
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-06-17
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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