Titlebook: Data Science – Analytics and Applications; Proceedings of the 2 Peter Haber,Thomas Lampoltshammer,Manfred Mayr Conference proceedings 2019

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ond International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine le

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A Probabilistic Approach to Web Waterfall Chartsue is based on non-parametric density estimation, and we discuss some subtle aspects of it, such as noisy inputs or singular data. We also investigate optimization techniques for numerical integration that arises as a part of modeling.

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Smart recommendation system to simplify projecting for an HMI/SCADA platform learning methods are proposed to address this problem. Data characteristics, modelling challenges, and two potential modelling approaches, one-hot encoding and probabilistic topic modelling, are discussed..The methodology for solving this problem is still in progress. First results are expected by the date of the conference.

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Lecture Notes in Computer Scienceenerator against a discriminator and training in a zero-sum game trying to find a Nash Equilibrium. This generator can then be used in order to convert noise into augmentations of the original data. This short paper shows the usage of GANs in order to generate fake face images as well as tips to overcome the notoriously hard training of GANs.

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Yasuhiro Ishihara,Koichi Takeuchig to opportunistic cliques. The ideas of trade classification and trading cliques present interesting opportunities to develop more robust policing systems which can automatically flag illegal activity in markets, and predict the likelihood that such activity will occur in the future.

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