By Richard Y. Wang, Mostapha Ziad, Yang W. Lee (auth.)
Data Quality presents an exposé of study and perform within the facts caliber box for technically orientated readers. it truly is in line with the study performed on the MIT overall information caliber administration (TDQM) software and paintings from different prime learn associations. This e-book is meant basically for researchers, practitioners, educators and graduate scholars within the fields of computing device technology, details know-how, and different interdisciplinary parts. It varieties a theoretical starting place that's either rigorous and appropriate for facing complicated matters with regards to facts caliber. Written with the objective to supply an outline of the cumulated study effects from the MIT TDQM study standpoint because it pertains to database study, this e-book is a superb advent to Ph.D. who desire to extra pursue their examine within the information caliber region. it's also a great theoretical creation to IT pros who desire to achieve perception into theoretical leads to the technically-oriented information caliber region, and practice a number of the key ideas to their practice.
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Additional info for Data Quality
Because both attributes are part of the key we are able, for example, to capture the fact that the attribute “actual cost” has an accuracy of ‘1’ whereas the accuracy of attribute “attendance” is ‘2’, using only one entity. This representation assumes that the accuracy for all attributes is rated on the same scale. , the interpretation of “rating”. A Data Quality Measure entity is introduced to capture the interpretation of the quality attribute values. , 1 is excellent, 2 is acceptable, 3 is poor).
23] Rob, P. and C. Coronel, Database Systems: Design, Implementation, and Management. 3rd ed. Course Technology, Boston, 1997.  Strong, D. , Y. W. Lee and R. Y. Wang, "Data Quality in Context," Communications of the ACM, 40(5), 1997, pp. 103-110.  Wang, R. , M. P. Reddy and H. B. Kon, "Toward quality data: An attribute-based approach," Decision Support Systems (DSS), 13, 1995, pp. 349-372.  Wang, R. , V. C. Storey and C. P. Firth, "A Framework for Analysis of Data Quality Research," IEEE Transactions on Knowledge and Data Engineering, 7(4), 1995, pp.
Y. Wang. "Estimating Data Accuracy in a Federated Database Environment," in Proceedings of 6th International Conference, CISMOD (Also in Lecture Notes in Computer Science). Bombay, India: pp. 115-134, 1995.  Rob, P. and C. Coronel, Database Systems: Design, Implementation, and Management. 3rd ed. Course Technology, Boston, 1997.  Strong, D. , Y. W. Lee and R. Y. Wang, "Data Quality in Context," Communications of the ACM, 40(5), 1997, pp. 103-110.  Wang, R. , M. P. Reddy and H. B. Kon, "Toward quality data: An attribute-based approach," Decision Support Systems (DSS), 13, 1995, pp.