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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection - Couverture rigide
Synopsis
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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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 Linkage) open source data cleaning, deduplication and record linkage system.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2012
- ISBN 10 3642311636
- ISBN 13 9783642311635
- ReliureRelié
- Langueanglais
- Nombre de pages272
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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Edité par
Springer, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
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Couverture rigide
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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.35. N° de réf. du vendeur G3642311636I4N00
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Data Matching
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Neuf
Couverture rigide
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 5056489
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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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Springer, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Ancien ou d'occasion
Couverture rigide
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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_366287370
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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 9783642311635
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Data Matching
Edité par
Springer Berlin Heidelberg Jul 2012, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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 9783642311635
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Data Matching
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. N° de réf. du vendeur 9783642311635
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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, 2012
ISBN 10 : 3642311636
ISBN 13 : 9783642311635
Ancien ou d'occasion
Couverture rigide
Vendeur : SGS Trading Inc, Franklin Lakes, NJ, Etats-Unis
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Hardcover. Etat : Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking. N° de réf. du vendeur SKU0221208
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