Data Quality by Y. Richard Wang Richard Y. Wang Mostapha Ziad

By Y. Richard Wang Richard Y. Wang Mostapha Ziad

Information caliber presents an expos? of study and perform within the info caliber box for technically orientated readers. it's in line with the study performed on the MIT overall facts caliber administration (TDQM) application and paintings from different top learn associations. This ebook is meant essentially for researchers, practitioners, educators and graduate scholars within the fields of laptop technological know-how, details expertise, and different interdisciplinary components. It varieties a theoretical beginning that's either rigorous and suitable for facing complicated matters concerning info caliber. Written with the aim to supply an summary of the cumulated learn effects from the MIT TDQM learn standpoint because it pertains to database study, this e-book is a superb creation to Ph.D. who desire to extra pursue their learn within the information caliber region. it's additionally an outstanding theoretical creation to IT pros who desire to achieve perception into theoretical ends up in the technically-oriented info caliber zone, and observe the various key options to their perform.

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31] Wand, Y. Y. Wang, Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, 39(11), 1996, 86-95. , A Product Perspective on Total Data Quality Management. Communications of the ACM, 41(2), 1998, 58-65. B. E. Madnick. Data Quality Requirements Analysis and Modeling. Proceedings of the 9th International Conference on Data Engineering. Vienna: pp. 670-677, 1993. C. P. Firth, A Framework for Analysis of Data Quality Research. IEEE Transactions on Knowledge and Data Engineering, 7(4), 1995, 623-640.

P. and H. L. Pazer, "Designing Information Systems to Optimize the Accuracy-Timeliness Tradeoff," Information Systems Research, 6(1), 1995, pp. 51-72. [3] Ballou, D. , R. Y. Wang, H. Pazer and G. K. Tayi, "Modeling Information Manufacturing Systems to Determine Information Product Quality," Management Science, 44(4), 1998, pp. 462-484. , M. Lenzirini and S. Navathe, "A comparative analysis of methodologies for database schema integration,'' ACM Computing Survey, 18(4), 1986, pp. 323-364. [5] Codd, E.

PN) of N polygen schemes. A polygen domain is defined as a set of ordered triplets. Each triplet consists of three elements: the first is a datum drawn from a simple domain in an LQP. The second is a set of LDs denoting the local databases from which the datum originates. The third is a set of LDs denoting the intermediate local databases whose data led to the selection of the datum. A polygen relation p of degree n is a finite set of time-varying n-tuples, each n-tuple having the same set of attributes drawing values from the corresponding polygen domains.

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