Titlebook: Data Science – Analytics and Applications; Proceedings of the 4 Peter Haber,Thomas J. Lampoltshammer,Manfred Mayr Conference proceedings 20

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tablishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies..The proceedings include all ful978-3-658-36295-9

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Conference proceedings 2022ue for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperat

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DSC 2021Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are requ

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https://doi.org/10.1007/3-540-31182-3lient to have its own hyperparameter configuration. We implemented these approaches based on grid search and Bayesian optimization and evaluated the algorithms on the MNIST data set using an i.i.d. partition and on an Internet of Things (IoT) sensor based industrial data set using a non-i.i.d. partition.

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Navneet Kaur Popli,Anup Girdhartive embeddings, similar to word embeddings in natural language processing. The embeddings are used to cluster event types to identify co-occurrence and causality between them. While both techniques have their strengths and weaknesses, they each significantly reduce the number of possible events, while enforcing conditions for causality.

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Fluid Construction Grammar in the Brainmalies under various operating conditions on a four-dimensional data set without any specific feature engineering for each operating condition. We consider this work as being the first step towards a generic anomaly detection method, which is applicable for a wide range of industrial equipment.