Selecting the best measures to discover quantitative association rules [PDF]
Neurocomputing, 2014 The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate the quality of the rules obtained. However, these two measures may not be sufficient to properly assess their quality due to some
Martínez Ballesteros, María del Mar +3 more
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Frequent contiguous pattern mining over biological sequences of protein misfolded diseases
BMC Bioinformatics, 2021 Background Proteins are integral part of all living beings, which are building blocks of many amino acids. To be functionally active, amino acids chain folds up in a complex way to give each protein a unique 3D shape, where a minor error may cause ...
Mohammad Shahedul Islam +5 more
doaj +1 more source
Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
IEEE Access, 2020 In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
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Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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Frontiers in Medical Technology, 2022 It is often assumed that healthy people have the genuine ability to maintain tight blood glucose regulation. However, a few recent studies revealed that glucose dysregulation such as hyperglycemia may occur even in people who are considered normoglycemic
Zilu Liang, Zilu Liang
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Obtaining optimal quality measures for quantitative association rules [PDF]
, 2016 There exist several works in the literature in which fitness functions based on a combination of weighted measures for the discovery of association rules have been proposed.
Martínez Ballesteros, María del Mar +3 more
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The use of quantitative association rules in cellular network planning
Journal of Telecommunications and Information Technology, 2003 This paper describes the problem of planning cellular network base stations with optimization to traffic requirements. This research problem was a main incentive to add some development to the theory of association rules.
Michał Okoniewski
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Quantitative Association Rules Applied to Climatological Time Series Forecasting [PDF]
, 2009 This work presents the discovering of association rules based on evolutionary techniques in order to obtain relationships among correlated time series. For this purpose, a genetic algorithm has been proposed to determine the intervals that form the rules
Martínez Ballesteros, María del Mar +3 more
core +1 more source
Integrating Data Mining Techniques for Naïve Bayes Classification: Applications to Medical Datasets
Computation, 2021 In this study, we designed a framework in which three techniques—classification tree, association rules analysis (ASA), and the naïve Bayes classifier—were combined to improve the performance of the latter.
Pannapa Changpetch +3 more
doaj +1 more source
Discovery of Scalable Association Rules from Large Set of Multidimensional Quantitative Datasets
Journal of Advances in Information Technology, 2012 In proposed approach, we introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes.
Tamanna Siddiqui +2 more
doaj +1 more source