Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]
Sci RepNi L, Zhang S, Huang K, Wang Y.
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A Novel Approach to Extract High Utility Itemsets from Distributed Databases
, 2013 Traditional approaches in data mining focus on support and confidence measures which are just statistics based. Support and confidence measures which are based on the frequency count of the items enable us to derive the frequent itemsets.
Subramanian, Kannimuthu +2 more
core
Exploration of association rule mining between lost-linking features and modes of loan customers using the FP-growth algorithm for risk warning strategies. [PDF]
PLoS OneWang J, Jiang X, He Y, Guan B, Deng C.
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Personalized customization: Service resource configuration optimization driven by customer requirements accurately. [PDF]
PLoS OneYu C, Wang H.
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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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Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. [PDF]
Front Big DataUpadhya KJ +7 more
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Overview of frequent pattern mining. [PDF]
Genomics Inform, 2022 Ott J, Park T.
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IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments. [PDF]
HeliyonHuang H, Chen S, Chen J.
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A New Many-Objective Optimization Approach to Association Rule Mining: The NSGA-II/DE-ARM Algorithm. [PDF]
Biomimetics (Basel)Kisman ZA, Demir G, Yuksel H, Alatas B.
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