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

Richard Y. Wang (Author), Mostapha Ziad (Author), Yang W. Lee (Author)

Book Description

ISBN-10: 0792372158 | ISBN-13: 978-0792372158 | Publication Date: January 15, 2001 | Edition: 1st

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.

Product Details

• Hardcover: 169 pages
• Publisher: Springer; 1st edition (January 15, 2001)
• Language: English
• ISBN-10: 0792372158
• ISBN-13: 978-0792372158
• Product Dimensions: 9.1 x 6.4 x 0.9 inches
• Shipping Weight: 15.5 ounces (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #2,246,582 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

5.0 out of 5 stars Excellent quality information, January 9, 2007

By 

Constance S. Roellig (washington dc) - See all my reviews
(REAL NAME)   

This review is from: Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Hardcover)

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.