[PDF.45xk] Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
Peter Christen
[PDF.hc43] Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
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| #506695 in Books | Springer | 2012-07-05 | Original language:English | PDF # 1 | 9.21 x.69 x6.14l,1.29 | File type: PDF | 272 pages | ||2 of 2 people found the following review helpful.| Fantastic!|By Cheng|This is a fantastic book for data matching. It is written very well and easy to be understood. It strength my foundation of data matching.|0 of 0 people found the following review helpful.| A great resource|By William G. Caughey|I am a PhD student working on data matching applications. This book is a wonder||"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. Bur
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...
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