Explicit probabilistic models for databases and networks
, 2009 Recent work in data mining and related areas has highlighted the importance of the statistical assessment of data mining results. Crucial to this endeavour is the choice of a non-trivial null model for the data, to which the found patterns can be ...
De Bie, Tijl
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A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis. [PDF]
Entropy (Basel), 2023 Li D, Cheng X.
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LCTree-Based Approach for Mining Frequent Items in Real-Time. [PDF]
Comput Intell Neurosci, 2022 Chen J +4 more
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TKFIM: Top-K frequent itemset mining technique based on equivalence classes. [PDF]
PeerJ Comput Sci, 2021 Iqbal S +5 more
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Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns. [PDF]
Entropy (Basel), 2021 Zhou S +7 more
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Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
PLoS One, 2023 Shi M, Gong Y, Xu T, Zhao L.
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Analyzing closed frequent itemsets with convex polytopes
, 2012 Frequent itemsets form a polytope and can be found and analyzed with Linear Programming.
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Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. [PDF]
Entropy (Basel), 2022 Milano M, Guzzi PH, Cannataro M.
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Innovative Mode of Human Resource Management of University Teachers Based on Intelligent Big Data Analysis. [PDF]
Comput Intell Neurosci, 2022 Bai Y.
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OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning. [PDF]
NAR Genom Bioinform, 2021 Ferré Q, Capponi C, Puthier D.
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