Titlebook: Advances in Knowledge Discovery and Data Mining; 24th Pacific-Asia Co Hady W. Lauw,Raymond Chi-Wing Wong,Sinno Jialin Pa Conference proceed

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AV Nodal Re-Entry Tachycardia (AVNRT),stances. In imbalanced datasets, .NN becomes biased towards the majority instances of the training space. To solve this problem, we propose a method called Proximity weighted Evidential .NN classifier. In this method, each neighbor of a query instance is considered as a piece of evidence from which

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https://doi.org/10.1007/978-3-030-74319-2ill based on the “classical” resampling techniques. In this paper, several experiments on 19 benchmark datasets are set up?to study the efficiency of six powerful oversampling approaches, including both “classical” and new ones. According to our experimental results, oversampling techniques that con

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H. P. Attarian MD,M. L. Perlis PhDase. Recently, this problem was extended to discover trending high utility itemsets (itemsets that yield an increasing or decreasing profit over time). However, an important limitation of that problem is that it is assumed that trends remain stable over time. But in real-life, trends may change in d

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