Data quality / Richard Y. Wang, Mostapha Ziad and Yang W. Lee.

By: Contributor(s): Material type: TextTextPublication details: Boston, Massachusetts : Kluwer Academic Publishers, c2001Description: 167 pages : illustrations ; 24 cmISBN:
  • 792372158
Subject(s): LOC classification:
  • QA 76.9 .W36 2001
Contents:
Chapter 1. Introduction -- Chapter 2. Extending the relational model to capture data quality attributes -- Chapter 3. Extending the ER model to represent data quality requirements -- Chapter 4. Automating data quality judgment -- Chapter 5. Developing a data quality algebra -- Chapter 6. The MIT context interchange project -- Chapter 7. The European union data warehouse quality project -- Chapter 8. The Purdue university data quality project -- Chapter 9. Conclusion.
Summary: Data Quality provides an expose of research and practice in the data quality field for technically oriented readers. 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.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed. - CCIT GC QA 76.9 .W36 2001 c.1 (Browse shelf(Opens below)) c.1 Available NULIB000013116
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed. - CCIT GC QA 76.9 .W36 2001 c.2 (Browse shelf(Opens below)) c.2 Available NULIB000013684

Includes bibliographical references and index.

Chapter 1. Introduction -- Chapter 2. Extending the relational model to capture data quality attributes -- Chapter 3. Extending the ER model to represent data quality requirements -- Chapter 4. Automating data quality judgment -- Chapter 5. Developing a data quality algebra -- Chapter 6. The MIT context interchange project -- Chapter 7. The European union data warehouse quality project -- Chapter 8. The Purdue university data quality project -- Chapter 9. Conclusion.

Data Quality provides an expose of research and practice in the data quality field for technically oriented readers. 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.

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