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Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes careExpand
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Association rule mining using a multi-objective grammar-based ant programming algorithm
TLDR
This paper presents a method for extracting association rules by means of a multi-objective grammar guided ant programming algorithm. Expand
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Parallel multi-objective Ant Programming for classification using GPUs
TLDR
This paper presents a new parallelization approach of an existing multi-objective Ant Programming model for classification, using GPUs and the NVIDIA CUDA programming model. Expand
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Swarm‐based metaheuristics in automatic programming: a survey
TLDR
This paper looks at the intersection between SI and automatic programming, providing a survey on the state‐of‐the‐art of the automatic programming algorithms that use an SI metaheuristic as the search technique. Expand
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A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets
TLDR
This paper applies meta-learning to recommend the best subset of white-box classification algorithms when using educational datasets. Expand
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Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers
TLDR
The extraction of comprehensible knowledge is one of the major challenges in many domains. Expand
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Mining association rules with single and multi-objective grammar guided ant programming
TLDR
This paper treats the first approximation to the extraction of association rules by employing ant programming, a technique that has recently reported very promising results in mining classification rules. Expand
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Classification rule mining using ant programming guided by grammar with multiple Pareto fronts
TLDR
This paper proposes a multi-objective ant programming algorithm for mining classification rules, MOGBAP, which focuses on optimizing sensitivity, specificity, and comprehensibility. Expand
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A grammar based Ant Programming algorithm for mining classification rules
TLDR
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining, based on a context-free grammar that properly guides the creation of new valid individuals. Expand
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Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets
TLDR
We propose a new meta-learning framework for educational domains based on the use of multi-label learning for selecting the best classification algorithms in order to predict students’ performance. Expand
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