On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Neural networks: a systematic introduction
Neural networks: a systematic introduction
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data & Knowledge Engineering
Graphical interpretation of the twofold integral and its generalization
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Empirical analysis of database privacy using twofold integrals
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
OWA operators in data modeling and reidentification
IEEE Transactions on Fuzzy Systems
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Schema and record matching are tools to integrate files or databases. Record linkage is one of the tools used to link those records that while belonging to different files correspond to the same individual. Standard record linkage methods are applied when the records of both files are described using the same variables. One of the non-standard record linkage methods corresponds to the case when files are not described using the same variables. In this paper we study record linkage for non common variables. In particular, we use a supervised approach based on neural networks. We use a neural network to find the relationships between variables. Then, we use these relationships to translate the information in the domain of one file into the domain of the other file.