Data Mining Technology in Teaching Evaluation of Colleges and Universities [PDF]
SHS Web of ConferencesData Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining.
Zhang Chao, He Linling
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Analysis of multiple chronic disease characteristics in middle-aged and elderly South Koreans by exercise habits based on association rules mining algorithm. [PDF]
BMC Public Health, 2023 Huang Y, Su Y, Byun Y, Lee Y, Kim S.
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Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China. [PDF]
PLoS One, 2022 Gu C, Xu J, Gao C, Mu M, E G, Ma Y.
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Using association rules mining to characterize loss of control eating in childhood. [PDF]
Appetite, 2021 Pearce AL +8 more
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TSARM-UDP: An Efficient Time Series Association Rules Mining Algorithm Based on Up-to-Date Patterns. [PDF]
Entropy (Basel), 2021 Zhao Q, Li Q, Yu D, Han Y.
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Mining Triadic Association Rules
Computer Science & Information Technology ( CS & IT ), 2013 The objective of this research is to extract triadic association rules from a triadic formal context K := (K 1, K 2, K 3, Y) where K 1, K 2 and K 3 respectively represent the sets of objects, properties (or attributes) and conditions while Y is a ternary relation between these sets.
Sid Ali Selmane +3 more
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Modified Meerkat Clan Algorithm for Association Rules Mining
مجلة بغداد للعلومAssociation Rules Mining (ARM) forms one of the important data mining techniques. The classical methods that were previously worked on by researchers have become ineffective to deal with the steady growth of databases, which prompted us to use the ...
Mohamad Ab. Saleh, Ahmed T. Sadiq Sadiq
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Mining Non-Derivable Association Rules [PDF]
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005 GOETHALS, Bart +2 more
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Information Reconstruction of Student Management Work Based on Association Rules Mining.
Comput Intell Neurosci, 2022 Xiang Y, Shuai C, Li Y, Zhang Y.
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Discovering spatial interaction patterns of near repeat crime by spatial association rules mining. [PDF]
Sci Rep, 2020 He Z, Tao L, Xie Z, Xu C.
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