Results 91 to 100 of about 659,904 (212)
Proof Learning in PVS With Utility Pattern Mining
IEEE Access, 2020 Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
doaj +1 more source
Mining frequent itemsets a perspective from operations research [PDF]
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
core
Journal of Safety Science and ResilienceThe numerous volumes of data generated every day necessitate the deployment of new technologies capable of dealing with massive amounts of data efficiently.
M. Sinthuja +5 more
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +2 more
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Datasets for Itemset, Sequence and Tree Mining
, 2020 There are three different datasets included, that can be used for itemset, sequence and tree mining methods. dense_db.zip contains various real itemset datasets like chess, connect, mushroom, pumsb, T10I4D100K, T40I10D100K and so on, used in the papers
Zaki, Mohammed J
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Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer's Disease. [PDF]
Genes (Basel), 2022 Liang H +7 more
europepmc +1 more source
Integrating Constraint Programming and Itemset Mining [PDF]
, 2010 Over the years many pattern mining tasks and algorithms have been proposed. Traditionally, the focus of these studies was on the efficiency of the computation and the scalability towards very large databases. Little research has however been done on a general framework that encompasses several of these problems. In earlier work we showed how constraint
Nijssen, Siegfried, Guns, Tias
openaire +4 more sources
TKFIM: Top-K frequent itemset mining technique based on equivalence classes. [PDF]
PeerJ Comput Sci, 2021 Iqbal S +5 more
europepmc +1 more source
The Duality of Frequent-Itemset Mining and Erasable-Itemset Mining
, 2019 In data mining, frequent-itemset mining and erasable-itemset mining are two standard and practical techniques for finding useful itemsets. Frequent-itemset mining is a significant pre-processing step in the search for association rules and is mainly ...
Wang, Chun-Ho
core
Video Mining with Frequent Itemset Configurations [PDF]
, 2006 We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine covariant regions. Our mining method is based on the class of frequent itemset mining algorithms, which have proven their efficiency in other domains, but have not been applied to video ...
Quack, Till +2 more
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