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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection - Couverture souple
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This inaugural volume on a topic of increasing importance collates research on databases, statistics, information retrieval, data mining and machine learning to provide a detailed discussion of the practical aspects and limitations of data matching.
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- ÉditeurSpringer
- Date d'édition2014
- ISBN 10 3642430015
- ISBN 13 9783642430015
- ReliureBroché
- Langueanglais
- Nombre de pages292
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
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Springer Berlin / Heidelberg, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Ancien ou d'occasion
Couverture souple
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Etat : Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur 51423999-6
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Data Matching
Edité par
Springer Berlin Heidelberg, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on a topic of growing importance for applications Brings together research from various areas like databases, statistics, information retrieval, data mining, and machine learningDetails the data matching process step by step. N° de réf. du vendeur 5060539
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Edité par
Springer Berlin Heidelberg, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 is divided into three parts: Part I, 'Overview', introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, 'Steps of the Data Matching Process', then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, 'Further Topics', deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today.By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially,they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process. N° de réf. du vendeur 9783642430015
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Data Matching
Edité par
Springer Berlin Heidelberg Aug 2014, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 is divided into three parts: Part I, 'Overview', introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, 'Steps of the Data Matching Process', then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, 'Further Topics', deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today.By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process. 292 pp. Englisch. N° de réf. du vendeur 9783642430015
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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
Edité par
Springer, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Edité par
Springer, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
Edité par
Springer, 2014
ISBN 10 : 3642430015
ISBN 13 : 9783642430015
Ancien ou d'occasion
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