Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co Jo?o Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(

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Klaus Opwis,Rolf Pl?tzner,Hans Spada widely demonstrated in many real world applications. The traditional algorithms return the set of all patterns with a utility above a minimum utility threshold which is difficult to fix, while top-k algorithms tend to lack of diversity in the produced patterns. We propose an algorithm named . to sa

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The Agreement of Euler-Lagrange Systems,hods have received increasing attention. However, discovering arbitrarily shaped clusters, determining the location and number of clustering cores and dealing with fuzzy boundaries is tough for most algorithms. We propose a novel clustering algorithm with dynamic boundary extraction strategy based o

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