A Data Consumer Based Approach to Supporting Data Quality Judgement
A Data Consumer Based Approach to Supporting Data Quality Judgement
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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.
What to read after A Data Consumer Based Approach to Supporting Data Quality Judgement?
You can find similar books in the "Read Also" column, or choose other free books by Yeona Jang to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Only indominance and first-order dominance relationships are allowed.
3.
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.
What to read after A Data Consumer Based Approach to Supporting Data Quality Judgement?
You can find similar books in the "Read Also" column, or choose other free books by Yeona Jang to read onlineMoreLess
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