Titlebook: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; European Conference, Albert Bifet,Tomas Krilavi?ius,Slaw

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GraphRPM: Risk Pattern Mining on?Industrial Large Attributed Graphsalized knowledge in particular domains of risk. Moreover, existing methodologies for mining graph patterns encounter significant obstacles when tasked with analyzing large-scale attributed graphs. In this work, we introduce GraphRPM,?an industry-purpose parallel and distributed risk pattern mining f

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Solving a?Real-World Optimization Problem Using Proximal Policy Optimization with?Curriculum Learninllenges?by gradually increasing the complexity of the environmental dynamics during policy transfer while simultaneously refining the reward mechanism. This iterative and adaptable process enables the agent?to learn a desired optimal policy. Results demonstrate that?our approach significantly improv

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A Crystal Knowledge-Enhanced Pre-training Framework for?Crystal Property Estimatione CKE module incorporates periodic attribute learning?and atom-type contrastive learning by explicitly introducing crystal knowledge to enhance crystal representation learning. We integrate these modules in a .ystal kn.wledge-enhanced .re-training (CROP) framework. Experiments on eight different dat

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Jakub Horenin,Veronika Magdanz,Islam S. M. Khalil,Anke Klingner,Alexander Kovalenko,Miroslav ?epekection on the circle of life. Written in an accessible style that combines science, biological information and the author’s own travels and fieldwork, the book also includes a wealth of captivating images. As such, it offers a unique resource for biologists and nature-loving Africa and Asia enthusiasts alike..978-3-662-58163-6

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Chetraj Pandey,Temitope Adeyeha,Jinsu Hong,Rafal A. Angryk,Berkay Aydinection on the circle of life. Written in an accessible style that combines science, biological information and the author’s own travels and fieldwork, the book also includes a wealth of captivating images. As such, it offers a unique resource for biologists and nature-loving Africa and Asia enthusiasts alike..978-3-662-58163-6

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0302-9743 k:?.The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X...?.978-3-031-70380-5978-3-031-70381-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science TrackEuropean Conference,