Titlebook: Complex Pattern Mining; New Challenges, Meth Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Book 2020 Springer Nature Switzerland AG 202

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Bestandsentwicklung und Wohnungsversorgung,al database. In various?practical applications such as science, medical and accident data analysis, frequent patterns usually represent obvious and expected phenomena. Really interesting information might hide in obscure rarity. Existing rare pattern mining approaches are mainly adapted from frequen

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synchronous

Ludmilla Horwath-Gumulowa,Ryszard Jurkowski a concept lattice. FCA is generalized to more complex data using pattern structure. In this article, we explore the relation of biclustering and pattern structure. More precisely, we?study the order-preserving biclusters, whose rows induce the same linear order across all columns.

cyanosis

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The West … and the rest of the Netherlands!utions. Deviance mining approaches typically extract representative subprocesses characterizing normal/deviant behaviors from an event log and use these subprocesses as features for classification. Existing approaches mainly differ for the employed?feature extraction?technique and, in particular, fo

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Wie Quartier und Management Zusammenkamenser requests. To guarantee the continuation of the services, the providers should keep the typical activities?of control and management of the network aligned with respect to these changes. They should handle both the evolution of the network and complexity of the infrastructure, while, actually, mo

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