Titlebook: Data Mining; 20th Australasian Co Laurence A. F. Park,Heitor Murilo Gomes,Simeon Sim Conference proceedings 2022 The Editor(s) (if applicab

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Arkato Gendole Anto,Fer Coendersr data-driven decision-making. With time, changes may emerge in the statistical characteristics of this data - this is also known as .. A concept drift can be detected using a concept drift detector. An ideal detector should detect drift accurately and efficiently. However, these properties may not

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Arkato Gendole Anto,Fer Coenders. Moreover, the expert driving the learning (human-in-the-loop-learning) can steer the learning objective, not only for accuracy, but perhaps for discrimination or characterisation rules, where isolating one class is the primary objective. Moreover, the interaction enables humans to explore and gain

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New Ways of Category Managementcation performances. Given the breakthrough of deep generative models in data generation, this paper proposes a conditional Generative Adversarial Network (GAN) based longitudinal classifier (LoGAN) to address this problem in longitudinal datasets. LoGAN is evaluated against commonly used and state-

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Jim Duffy,Peter Koudal,Stephen Pratts, such as drop-down lists and check-boxes, to construct queries. However, this requires multiple clicks and selections. Natural language queries, on the other hand, are more convenient and less restrictive for knowledge graphs navigation. In this paper, we propose a system that enables natural lang