Titlebook: Data-Driven Process Discovery and Analysis; Second IFIP WG 2.6, Philippe Cudre-Mauroux,Paolo Ceravolo,Dragan Gašev Conference proceedings

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Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital,tch Hospital where we use process mining to predict the cash flow of the Hospital. In order to predict the cost of a treatment, we use different data mining techniques to predict the sequence of treatments administered, the duration and the final ”care product” or diagnosis of the patient. While per

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a fast rerouting mechanism is considered to enhance the reliability of the routing algorithm. Simulation results demonstrate that, across various network configurations, time spans, and constellation densities, LMCRA significantly improves path stability compared to the conventional Dijkstra algori

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theme so well exploited by the poets, prophets and philosophers of all ages that it might seem difficult to invest it with a new life and startling significance. Yet for me he did so, in a torrent of magnificent language which appeared to be both effortless and inexhaustible and ended up with the words I sha978-90-247-1596-1978-94-010-2035-0

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J. Folkmanity. Changes on chemical composition along the vegetative cycle, nutrient losses during harvesting, preservation and storage are factors that could have an effect on nutritive value, as well on digestibility and palatability. A specific grazing and ingesting behaviour, linked to plant preferences an

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Einleitung, Veränderungen und zum anderen auf den klinischen Erfahrungen über den Krankheitsverlauf. Die Forschungsergebnisse dieser beiden Richtungen fügen sich sehr bald zu einem übersichtlichen Bild zusammen, wenn der Krankheitsverlauf völlig überblickt und jederzeit der ärztlichen Erkenntnis zugänglich gem