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An algorithm for associative bilinear forms
(2009)
We establish the equivalence between the problem of existence of associative bilinear forms and the problem of solvability in commutative power-associative finite-dimensional nil-algebras. We use the tensor product to find ...
Sustained reduction of healthcare-associated infections after the introduction of a bundle for prevention of ventilator-associated pneumonia in medical-surgical intensive care units
(2020-09-01)
Background: Infection control interventions can be erroneously interpreted if outcomes are assessed in short periods. Also, statistical methods usually applied to compare outcomes before and after interventions are not ...
Cohomology of associative H-pseudoalgebras
(Cornell University, 2020-12-25)
We define cohomology of associative H-pseudoalgebras, and we show that it describes module extensions, abelian pseudoalgebra extensions, and pseudoalgebra first order deformations. We describe in details the same results ...
Lystra Lewis papers: guide
(2011-08-18)
The guide to the Lystra Lewis papers.
Metrics to support the evaluation of association rule clustering
(2013-09-26)
Many topics related to association mining have received attention in the research community, especially the ones focused on the discovery of interesting knowledge. A promising approach, related to this topic, is the ...
Metrics to support the evaluation of association rule clustering
(2013-09-26)
Many topics related to association mining have received attention in the research community, especially the ones focused on the discovery of interesting knowledge. A promising approach, related to this topic, is the ...
Exploring the data using Extended Association Rule Network
(Ieee, 2018-01-01)
In this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], ...
Objective measures ensemble in associative classifiers
(2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...
Objective Measures Ensemble in Associative Classifiers
(Scitepress, 2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...