A hybrid decision tree/genetic algorithm method for data mining [PDF]
, 2004 This paper addresses the well-known classification task of data mining, where the objective is to predict the class which an example belongs to. Discovered knowledge is expressed in the form of high-level, easy-to-interpret classification rules.
Carvalho, Deborah R., Freitas, Alex A.
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A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]
, 2012 Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B. +3 more
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Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis
International Journal of Computer Science in Sport, 2019 Sports coaches today have access to a growing amount of information that describes the performance of their players. Methods such as data mining have become increasingly useful tools to deal with the analytical demands of these high volumes of data.
Wenninger Sebastian +2 more
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Trends in drug use among young adult females: a 22-year retrospective analysis
Toxicology Communications, 2022 Louisiana State University Health Sciences Center at Shreveport (LSUHSC-S) serves a largely minority-based, urban population. This study aims to identify trends in urine drug screen (UDS) results among females aged 18–35 visiting State University during ...
Eric Clifford +7 more
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A Study of Different Quality Evaluation Functions in the cAnt-MinerPB Classification Algorithm [PDF]
, 2012 Ant colony optimization (ACO) algorithms for classification in general employ a sequential covering strategy to create a list of classification rules.
Otero, Fernando E.B. +3 more
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Mining association rules for the quality improvement of the production process [PDF]
, 2013 Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks.
Rigal, Fabien +2 more
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IEEE Access, 2022 With the exponential rise in government and private health-supported schemes, the number of fraudulent billing cases is also increasing. Detection of fraudulent transactions in healthcare systems is an exigent task due to intricate relationships among ...
Irum Matloob +4 more
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eDRAM: Effective early disease risk assessment with matrix factorization on a large-scale medical database: A case study on rheumatoid arthritis. [PDF]
PLoS ONE, 2018 Recently, a number of analytical approaches for probing medical databases have been developed to assist in disease risk assessment and to determine the association of a clinical condition with others, so that better and intelligent healthcare can be ...
Chu-Yu Chin +2 more
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Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]
, 2013 The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B. +3 more
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Frontiers in Pharmacology, 2023 Purpose: Antibiotic-resistant bacterial pneumonia poses a significant therapeutic challenge. In China, Chinese herbal compound (CHC) is commonly used to treat bacterial pneumonia. We aimed to evaluate the efficacy and safety of CHC and identify core herb
Shuman Zhao +9 more
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