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Data Quality (Advances in Database Systems), by Richard Y. Wang, Mostapha Ziad, Yang W. Lee
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Data Quality provides an exposé 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.
- Published on: 2013-10-04
- Released on: 2013-10-04
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .43" w x 6.10" l, .60 pounds
- Binding: Paperback
- 167 pages
About the Author
Richard Y. Wang is Director of the MIT Information Quality Program (MITIQ), Codirector of the Total Data Quality Management Program at MIT (MIT TDQM), and University Professor at the University of Arkansas at Little Rock, where the first master's degree program in Information Quality has been established.
Yang W. Lee is Associate Professor at the Information, Operations, and Analysis Group in the College of Business Administration at Northeastern University.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Excellent quality information
By Constance S. Roellig
The book provides a variety of predicate calculus models for describing, measuring and managing information quality. Material is an excellent balance between theory and practice, with case studies from a variety of projects and institutions.
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