Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2021.05.015
Abstract: Abstract In online advertising, the user-clicks dataset based fraudulent publishers’ classification models exhibit poor performance due to high skewness in class distribution of the publishers. The nearest-neighbor based classification techniques are popularly used to reduce… read more here.
Keywords: neighbor; quad division; prototype selection; nearest neighbor ... See more keywords
Seeing All From a Few: $\ell_{1}$ -Norm-Induced Discriminative Prototype Selection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2875347
Abstract: Prototype selection aims to remove redundancy and irrelevance from large-scale data by selecting an informative subset, which makes it possible to see all data from a few prototypes. However, due to the outliers and uncertain… read more here.
Keywords: inline formula; prototype selection; selection; tex math ... See more keywords