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Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23)

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Data Quality provides an expose of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.

This book provides an exposé of research and practice in data quality for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality
Management (TDQM) program and the work of other leading research institutions. It is intended for researchers, practitioners, educators and graduate students in the
fields of Computer Science, Information Technology, and other inter-disciplinary fields. This book describes some of the pioneering research results that form a
theoretical foundation for dealing with advanced issues related to data quality. In writing this book, our goal was to provide an overview of the cumulated research
results from the MIT TDQM research perspective as it relates to database research.

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