Articles with "oversampling approach" as a keyword



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GT2FS-SMOTE: An Intelligent Oversampling Approach Based Upon General Type-2 Fuzzy Sets to Detect Web Spam

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Published in 2020 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-020-04995-5

Abstract: With the growing internet, web spam is also increasing, which majorly affect the user experiences with search engines. Web spam methods target the search engine’s internal programs to push targeted web sites at the upper… read more here.

Keywords: intelligent oversampling; approach based; web spam; oversampling approach ... See more keywords
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A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets

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Published in 2022 at "Entropy"

DOI: 10.3390/e24030322

Abstract: Oversampling is the most popular data preprocessing technique. It makes traditional classifiers available for learning from imbalanced data. Through an overall review of oversampling techniques (oversamplers), we find that some of them can be regarded… read more here.

Keywords: information; boundary information; information based; samples near ... See more keywords