Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co João Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(

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Vitali Sintchenko,Enrico Coieranovel way to provide 24-h forecasting and anomaly detection of water quality parameters. It provides prawn farmers with tools to . avoid a poor growing environment, thereby optimising growth and reducing the risk of losing stock. This is a major shift for farmers who are forced to manage ponds by .

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Anthony M. Joshua,Paul C. Boutrosgh rate (CTR) prediction. In general, they enumerate all cross features with a predetermined order and filter out useless interactions through model training. However, two significant challenges remain. First, a maximum order for feature interactions needs to be defined in advance, imposing a trade-

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Francis G. Bowling,Mervyn Thomasvenue in the markets, malicious sellers seek to boost their service evaluation by manipulating the rating system with fake ratings. One effective way to improve the service evaluation is to hire fake rating providers by bribery. The fake ratings given by the bribed buyers influence the evaluation of

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https://doi.org/10.1007/978-1-4939-0847-9ffic. Nowadays, with the help of machine learning algorithms, intrusion detection systems develop rapidly. However, the robustness of this system is questionable when it faces adversarial attacks. For the robustness of detection systems, more potential attack approaches are under research. In this p

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ASSAY

Clinical Biomechanics and Related Research cost, how to arrange the charging of each EV becomes the main issue. However, existing scheduling methods usually obtain schedules without considering EVs users’ charging willingness, which will let EVs users be reluctant to follow the arranged charging schedule, thereby incurring low charging util

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