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Mining multidimensional contextual outliers from categorical relational data.

, , , and . SSDBM, page 43:1-43:4. ACM, (2013)

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Decidability and Undecidability Results for the Termination Problem of Active Database Rules., , and . PODS, page 264-273. ACM Press, (1998)Pattern Aided Classification., and . SDM, page 225-233. SIAM, (2016)Algorithms for Adapting Materialised Views in Data Warehouses., and . CODAS, page 309-316. World Scientific, (1996)Increment Boundedness and Nonrecursive Incremental Evaluation of Datalog Queries., and . ICDT, volume 893 of Lecture Notes in Computer Science, page 397-410. Springer, (1995)Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints., , , , , and . WAIM (1), volume 9658 of Lecture Notes in Computer Science, page 82-94. Springer, (2016)Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints., , and . ICDM, page 194-201. IEEE Computer Society, (2005)Subpopulation-Wise Conditional Correlation Modeling and Analysis., and . ICBK, page 17-24. IEEE Computer Society, (2017)Efficient Mining of Emerging Patterns: Discovering Trends and Differences., and . KDD, page 43-52. ACM, (1999)Mining Top-k Distinguishing Temporal Sequential Patterns from Event Sequences., , , , and . DASFAA (2), volume 10178 of Lecture Notes in Computer Science, page 235-250. Springer, (2017)Discovery of Highly Differentiative Gene Groups from Microarray Gene Expression Data Using the Gene Club Approach., and . J. Bioinform. Comput. Biol., 3 (6): 1263-1280 (2005)