Entity Resolution and Information Quality - Brossura

Talburt, John R.

Brossura

ISBN 10: 0123819725 ISBN 13: 9780123819727

Casa editrice: Morgan Kaufmann Pub, 2011

Riassunto

This book is comprehensive, timely, and on the leading edge of the topic. In addition to being comprehensive and systematic, the book has two distinct characteristics. One, it addresses the issue of entity relationships, which go beyond entity matching. This novel approach generates much richer information about entities. Two, it discusses not only techniques, but also systems that implement the techniques. This system-oriented approach helps the reader to see how to apply the techniques for problem solving. Dr. Hongwei (Harry) Zhu, Assistant Professor of Information Technology in the College of Business and Public Administration, Old Dominion University

Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn't mean you can use it effectively. If not properly integrated, data can encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.

This emerging area of data management is clearly explained throughout the Entity Resolution and Information Quality. It teaches you the process of locating and linking information about the same entity---eliminating duplications---and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students, and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today's infor-centric environment.

Su questo libro

Informazioni sull?autore

John R. Talburt, Professor of Information Science, University of Arkansas at Little Rock; Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ); Associate Director of the Acxiom Laboratory for Applied Research (ALAR); Co-Director of the MIT Information Quality Program's Working Group on Customer-Centric Information Quality Management.

Dalla quarta di copertina

Entity Resolution

Accurately integrate your customer and product information to stay ahead of your competition!

This book is comprehensive, timely, and on the leading edge of the topic. In addition to being comprehensive and systematic, the book has two distinct characteristics: (1) it addresses the issue of entity relationships, which go beyond entity matching. This novel approach generates much richer information about entities; (2) it discusses not only techniques, but also systems that implement the techniques. This system-oriented approach helps the reader to see how to apply the techniques for problem solving.

Dr. Hongwei (Harry) Zhu - Assistant Professor of Information Technology in the College of Business and Public Administration, Old Dominion University

Key Features

• First authoritative reference explaining entity resolution and how to use it effectively
• Provides practical system design advice to help you get a competitive advantage
• Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn t mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.

This emerging area of data management is clearly explained throughout the book. It teaches you the process of locating and linking information about the same entity - eliminating duplications - and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today s info-centric environment.

John R. Talburt, Professor of Information Science, University of Arkansas at Little Rock; Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ); Associate Director of the Acxiom Laboratory for Applied Research (ALAR); Co-Director of the MIT Information Quality Program s Working Group on Customer-Centric Information Quality Management.

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Entity Resolution

Accurately integrate your customer and product information to stay ahead of your competition!

This book is comprehensive, timely, and on the leading edge of the topic. In addition to being comprehensive and systematic, the book has two distinct characteristics: (1) it addresses the issue of entity relationships, which go beyond entity matching. This novel approach generates much richer information about entities; (2) it discusses not only techniques, but also systems that implement the techniques. This system-oriented approach helps the reader to see how to apply the techniques for problem solving.

Dr. Hongwei (Harry) Zhu - Assistant Professor of Information Technology in the College of Business and Public Administration, Old Dominion University

Key Features

• First authoritative reference explaining entity resolution and how to use it effectively

• Provides practical system design advice to help you get a competitive advantage

• Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn t mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.

This emerging area of data management is clearly explained throughout the book. It teaches you the process of locating and linking information about the same entity - eliminating duplications - and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today s info-centric environment.

John R. Talburt, Professor of Information Science, University of Arkansas at Little Rock; Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ); Associate Director of the Acxiom Laboratory for Applied Research (ALAR); Co-Director of the MIT Information Quality Program s Working Group on Customer-Centric Information Quality Management.

Dettagli dell'edizione

• Editore: Morgan Kaufmann Pub
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0123819725
• ISBN 13: 9780123819727
• Rilegatura: Copertina flessibile
• Numero di pagine: 235
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile