Titlebook: Data Mining; 15th Australasian Co Yee Ling Boo,David Stirling,Graham Williams Conference proceedings 2018 Springer Nature Singapore Pte Ltd

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False Data Injection Attacks in Healthcare overview of the FDIA is proposed including the definition and detection techniques proposed so far. The main focus of this paper is to create awareness about the impact of the FDIA in domains other than smart grid such as healthcare. The impact of FDIA in healthcare is overlooked for last couple of

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https://doi.org/10.1007/978-3-642-19028-5ributions of different class samples result in the classifier being over-fitted by learning too many majority class samples and under-fitted in recognizing minority class samples. Prior methods attempt to ease imbalanced problem through sampling techniques, in order to re-assign and rebalance the di

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Sirkka L. Jarvenpaa,Alina Wernick outgoing), with many potential negative consequences. The classification accuracy may decrease and the complexity of the classifiers may increase due to the number of redundant training samples. To detect such noisy instances from a training dataset, researchers use naive Bayes classifier (NBC) as

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