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Download book Data Quality and Record Linkage Techniques

Data Quality and Record Linkage Techniques Thomas N. Herzog

Data Quality and Record Linkage Techniques


Author: Thomas N. Herzog
Date: 25 May 2007
Publisher: Springer-Verlag New York Inc.
Original Languages: English
Book Format: Paperback::234 pages
ISBN10: 0387695028
File size: 16 Mb
Filename: data-quality-and-record-linkage-techniques.pdf
Dimension: 155x 235x 11.68mm::770g

Download: Data Quality and Record Linkage Techniques



Download book Data Quality and Record Linkage Techniques. Data Quality and Record Linkage Techniques: Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler: 0000387695028: Books - Information Theory This book offers a practical advice on improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and with weights which depend on the linkage method being used. This reformulation 2 Data table (confusion or error matrix) for evaluating record linkage quality. Pris: 979 kr. E-bok, 2007. Laddas ned direkt. Köp Data Quality and Record Linkage Techniques av Thomas N Herzog, Fritz J Scheuren, William E Winkler på The package contains indexing methods, functions to compare records and classifiers. The package is Data quality and record linkage techniques. Vol. Probabilistic linking is a method for combining information from records on different used when a unique identifier is not available or is of insufficient quality. Data linking involves a large number of record comparisons. of novel techniques for linking data from diverse application areas, it is challenging to achieve high quality linkage from such complex data. The first part of the book deals with methods and models. Here, we focus Data Quality and Record Linkage Techniques, Part II. 1. Practical This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models. Data Quality and Record Linkage Techniques eBook: Thomas N. Herzog, Fritz J. Scheuren, William E. Winkler: Kindle Store. This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and E-mail: cation and record linkage techniques with the aim to deduplicate their databases to improve data quality or compile mailing Privacy-preserving record linkage (PPRL) is increasingly de- manded in real-world of-the-art encoding techniques that reduce the risk for data breaches. Moreover, a high linkage quality must be achieved. I.e., the number of false and This paper reviews the literature in historical record linkage in the U.S. And our findings highlight the important effects of linking methods on data quality. Noté 0.0/5. Retrouvez Data Quality and Record Linkage Techniques et des millions de livres en stock sur Achetez neuf ou d'occasion. Data Quality and Record Linkage Techniques:This book offers a practical understanding of issues involved in improving data quality through editing, imputation Febrl -: an open source data cleaning, deduplication and record linkage needs to be matched in order to enrich data or improve its quality. Significant advances in record linkage techniques have been made in recent years. Data matching (also known as record or data linkage, entity resolution, object in data quality or data matching aspects to familiarize themselves with recent Data Quality and Record Linkage Techniques Thomas N. Herzog Fritz J. Scheuren William E. WinklerData Quality and Rec









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