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The 18 articles in this state-of-the-art survey present the latest results in inductive querying and constraint-based data mining and also identify future directions of this newly emerging field lying at the intersection of data mining and database research. The papers address topical sections on foundations of inductive database frameworks, optimizing inductive queries on local patterns, optimizing inductive queries on global patterns, and applications of inductive querying techniques.
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