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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
Peter Christen
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Description for Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
Paperback. .
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen's book ... Read more
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen's book ... Read more
Product Details
Publisher
Springer
Format
Paperback
Publication date
2014
Series
Data-Centric Systems and Applications
Condition
New
Number of Pages
272
Place of Publication
Berlin, Germany
ISBN
9783642430015
SKU
V9783642430015
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Peter Christen
Peter Christen is Senior Lecturer at the Research School of Computer Science at the Australian National University in Canberra, Australia. His research interests are data mining, with a focus on data matching, and privacy-preserving data sharing and mining. He has published over 50 papers in these areas, and he is the principle developer of the `Febrl' (Freely Extensible Biomedical Record ... Read more
Reviews for Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
The book is very well organized and exceptionally well written. Because of the depth, amount, and quality of the material that is covered, I would expect this book to be one of the standard references in future years. William E. Winkler, U.S. Bureau of the Census, Washington, DC, USA