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Springer Data Matching - Record Linkage and Entity Resolution

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Description

Explore the essential principles of data matching with this comprehensive guide from Springer. This book covers record linkage, entity resolution, object identification, and field matching techniques. It is designed to help you identify, match, and merge records that represent the same entities across multiple databases or within a single database. The content draws on research from various fields, including applied statistics, health informatics, data mining, machine learning, artificial intelligence, and database management. It addresses significant advances made over the last decade, focusing on methods to improve the accuracy of the data matching process. This text is a valuable resource for professionals and students working in data-centric systems and applications.

Key Features

This Springer publication covers core concepts in record linkage, entity resolution, and duplicate detection.

Learn to identify and merge records that correspond to the same entities across different databases.

The text integrates research from machine learning, artificial intelligence, and data mining domains.

Gain insights into recent advances in improving the accuracy of the data matching process.

This book serves as a technical resource for studies in health informatics and database management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 August 2012
Listed Since
09 August 2014

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No barcode data available

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