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Representative previous research includes (a) contrast pattern aided regression (CPXR) and contrast pattern aided classification (CPXC), (b) the mining of emerging/contrast patterns and the use of such patterns for classification, clustering, outlier detection, disease analysis, and bioinformatics, (c) various OLAP/OLAM cubing (iceberg, gradient, regression, and bound-prune) algorithms, (d) first-order incremental view maintenance for transitive closure and shortest path views, (e) expressive power of first-order queries with arithmetic constraints.
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Guozhu Dong, Nicholas Skapura
IEEE International Conference on Big Knowledgepp.1-10, (2023)
Exploiting the Power of Group DifferencesSynthesis Lectures on Data Mining and Knowledge Discoverypp.77-86, (2019)
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Exploiting the Power of Group DifferencesSynthesis Lectures on Data Mining and Knowledge Discoverypp.43-50, (2019)
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Exploiting the Power of Group DifferencesSynthesis Lectures on Data Mining and Knowledge Discoverypp.65-75, (2019)
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Exploiting the Power of Group DifferencesSynthesis Lectures on Data Mining and Knowledge Discoverypp.87-99, (2019)
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Exploiting the Power of Group DifferencesSynthesis Lectures on Data Mining and Knowledge Discoverypp.15-26, (2019)
Exploiting the Power of Group Differencespp.57-64, (2019)
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