Articles with "attribute selection" as a keyword



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Efficient attribute selection technique for leukaemia prediction using microarray gene data

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-020-04793-z

Abstract: The recent advancements in today’s medical sciences regarding Data Analytics have made it possible for the use of efficient techniques for analysis. For prognosis, diagnosis and cancer treatment, a microarray-based gene expression profiling is considered.… read more here.

Keywords: technique; attribute selection; selection technique; efficient attribute ... See more keywords
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Attribute selection for decision tree learning with class constraint

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Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"

DOI: 10.1016/j.chemolab.2017.02.004

Abstract: Abstract Decision trees are highly favoured classifiers because of the resemblance of their understandable nature to the branched process of human thinking. But the comprehensible rationality of these trees can be severely affected by the… read more here.

Keywords: decision; attribute selection; selection; class constraint ... See more keywords
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Data Representation via Attribute Selection- Propagation Neural Network

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Published in 2023 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2023.3266949

Abstract: Graph Convolutional Networks (GCNs) have been commonly studied for attribute graph data representation. It is known that the core of Graph Convolution (GC) operation is to define a specific graph propagation operation for graph node's… read more here.

Keywords: graph; attribute selection; propagation; data representation ... See more keywords
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A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/8749353

Abstract: Advanced predictive analytics coupled with an effective attribute selection method plays a pivotal role in the precise assessment of chronic disorder risks in patients. Traditional attribute selection approaches suffer from premature convergence, high complexity, and… read more here.

Keywords: metaheuristic attribute; attribute selection; attribute; chronic disease ... See more keywords