A lightweight data preprocessing strategy with fast contradiction analysis for incremental classifier learning
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Publication:1664667
DOI10.1155/2015/125781zbMath1395.62152OpenAlexW2086931437WikidataQ57569994 ScholiaQ57569994MaRDI QIDQ1664667
Robert P. Biuk-Aghai, Simon Fong, Bee Wah Yap, Yain-Whar Si
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/125781
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
- Outlier detection in adaptive functional-coefficient autoregressive models based on extreme value theory
- Advances in instance selection for instance-based learning algorithms
- Class noise vs. attribute noise: A quantitative study of their impacts
- A survey of outlier detection methodologies
- An Experiment with the Edited Nearest-Neighbor Rule
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