Association rule mining algorithms on high-dimensional datasets
Sign Up to like & getrecommendations! Published in 2018 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-018-0437-y
Abstract: The science of bioinformatics has been accelerating at a fast pace, introducing more features and handling bigger volumes. However, these swift changes have, at the same time, posed challenges to data mining applications, in particular… read more here.
Keywords: high dimensional; mining; mining algorithms; dimensional datasets ... See more keywords
A classifier for multi-dimensional datasets based on Bayesian multiple kernel grouping learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1612395
Abstract: ABSTRACT This paper proposes an algorithm for the classification of multi-dimensional datasets based on the conjugate Bayesian Multiple Kernel Grouping Learning (BMKGL). Using conjugate Bayesian framework improves the computation efficiency. Multiple kernels instead of a… read more here.
Keywords: datasets based; kernel; dimensional datasets; multiple kernel ... See more keywords
Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA
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DOI: 10.1371/journal.pcbi.1012747
Abstract: High-dimensional data have become ubiquitous in the biological sciences, and it is often desirable to compare two datasets collected under different experimental conditions to extract low-dimensional patterns enriched in one condition. However, traditional dimensionality reduction… read more here.
Keywords: dimensional datasets; contrastive pca; high dimensional; generalized contrastive ... See more keywords
Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets
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DOI: 10.1371/journal.pone.0282812
Abstract: Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. The evaluation and suitability of these selected features are often analyzed using classifiers. These features are… read more here.
Keywords: using hbeosa; dimensional datasets; hbeosa; hbeosa ffa ... See more keywords