A Data Consumer Based Approach to Supporting Data Quality Judgement

Yeona Jang

The book A Data Consumer Based Approach to Supporting Data Quality Judgement was written by author Yeona Jang Here you can read free online of A Data Consumer Based Approach to Supporting Data Quality Judgement book, rate and share your impressions in comments. If you don't know what to write, just answer the question: Why is A Data Consumer Based Approach to Supporting Data Quality Judgement a good or bad book?

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Only indominance and first-order dominance relationships are allowed.
3. d'?i'^'?2' ^^^ ^^^ allowed. In addition, the first-order data quality reasoner requires that the dominance relation be transitive. This implies that for any conjunctions of quality-parameter value assignments, Ei, E2, and D, if Ej >jE2 and £2 >jE^, then Ej >^ £3. Transitivity of the dominance relation implies the need for an algorithm to verify that, when presented with an instance of the quality- estimating problem (...®((j, (j2, .. , (?„), DR), dominance relationships in OR do not conflict with each other. Well-known graph algorithms can be used for performing this check (T H Cormen, Leiserson, & Rivest, 1990).
Quality-merge statements can be classified into groups, with respect to levels of the reducibility, as defined below.
Definition 4 (Irreducible Quality-Merge Statement): For any instantiated quality-merge statement e=®((j2.

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