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- W1567213510 abstract "Entity Resolution (ER) covers the problem of identifying distinct representations of real-world entities in heterogeneous databases. We consider the generic formulation of ER problems (GER) with exact outcome. In practice, input data usually resides in relational databases and can grow to huge volumes. Yet, typical solutions described in the literature employ standalone memory resident algorithms. In this paper we utilize facilities of standard, unmodified relational database management systems (RDBMS) to enhance the efficiency of GER algorithms. We study and revise the problem formulation, and propose practical and efficient algorithms optimized for RDBMS external memory processing. We outline a real-world scenario and demonstrate the advantage of algorithms by performing experiments on insurance customer data." @default.
- W1567213510 created "2016-06-24" @default.
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- W1567213510 date "2009-01-01" @default.
- W1567213510 modified "2023-09-23" @default.
- W1567213510 title "Generic Entity Resolution in Relational Databases" @default.
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- W1567213510 doi "https://doi.org/10.1007/978-3-642-03973-7_6" @default.
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