The merge/purge problem for large databases
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Learning to match and cluster large high-dimensional data sets for data integration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Record Linkage in Large Data Sets
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Methods for evaluating and creating data quality
Information Systems - Special issue: Data quality in cooperative information systems
A Fast Linkage Detection Scheme for Multi-Source Information Integration
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
A Comparison of Personal Name Matching: Techniques and Practical Issues
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Towards automated record linkage
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
A two-step classification approach to unsupervised record linkage
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Automatic record linkage using seeded nearest neighbour and support vector machine classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic training example selection for scalable unsupervised record linkage
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Decision models for record linkage
Data Mining
Record linkage performance for large data sets
Proceedings of the ACM first international workshop on Privacy and anonymity for very large databases
Multiple instance learning for group record linkage
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A taxonomy of privacy-preserving record linkage techniques
Information Systems
GeCo: an online personal data generator and corruptor
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Record linkage, also known as database matching or entity resolution, is now recognised as a core step in the KDD process. Data mining projects increasingly require that information from several sources is combined before the actual mining can be conducted. Also of increasing interest is the deduplication of a single database. The objectives of record linkage and deduplication are to identify, match and merge all records that relate to the same real-world entities. Because real-world data is commonly 'dirty', data cleaning is an important first step in many deduplication, record linkage, and data mining project. In this paper, an overview of the Febrl (Freely Extensible Biomedical Record Linkage) system is provided, and the results of a recent survey of Febrl users is discussed. Febrl includes a variety of functionalities required for data cleaning, deduplication and record linkage, and it provides a graphical user interface that facilitates its application for users who do not have programming experience.