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A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change. [PDF]

PeerJ Comput Sci
Marten J, Delbianco F, Tohme F, Maguitman AG.   +3 more
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RETRACTED: Physical fitness characteristics and comprehensive physical fitness evaluation model of basketball players based on association rule algorithm.

PLoS One
Ding Y.
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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.
europepmc   +1 more source

Co-detection of respiratory pathogens among ILI patients: characterization of samples collected during the 2018/19 and 2019/20 pre-pandemic seasons. [PDF]

BMC Infect Dis
Ferrari A, Schiavetti I, Ogliastro M, Minet C, Sibilio R, Giberti I, Costa E, Massaro E, Lai PL, Mosca S, Bruzzone B, Orsi A, Panatto D, Icardi G.   +13 more
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Incremental high average-utility itemset mining: survey and challenges. [PDF]

Sci Rep
Chen J, Yang S, Ding W, Li P, Liu A, Zhang H, Li T.   +6 more
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Temporal Evolution of the Profile of Patients Hospitalized with Heart Failure (2000-2022). [PDF]

Clin Pract
Seoane-Pillado T, Suárez-Gil R, Pértega-Díaz S, Piñeiro-Fernández JC, Rodriguez-Ameijeiras E, Casariego-Vales E.   +5 more
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Development of targeted safety hazard management plans utilizing multidimensional association rule mining. [PDF]

Heliyon
Qiang X, Li G, Sari YA, Fan C, Hou J.
europepmc   +1 more source

Web log mining techniques to optimize Apriori association rule algorithm in sports data information management. [PDF]

Sci Rep
Li T, Liu F, Chen X, Ma C.
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Optimization algorithm of association rule mining for heavy-haul railway freight train fault data based on distributed parallel computing.

Sci Prog
Bai Y, Li H, Wang W, Liu S, Zhang N, Zhang C.   +5 more
europepmc   +1 more source

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Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets

Applied Intelligence, 2021
When mining frequent itemsets (abbr. FIs) from dense datasets, it usually produces too many itemsets and results in the mining task to suffer from a very long execution time and high memory consumption. Frequent closed itemset (abbr. FCI) is a compact and lossless representation of FI. Mining FCIs can not only reduce the execution time and memory usage,
Cheng-Wei Wu, JianTao Huang, Yun-Wei Lin, Chien-Yu Chuang, Yu-Chee Tseng   +4 more
openaire   +2 more sources