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Titlebook: Advanced Information Systems Engineering; 34th International C Xavier Franch,Geert Poels,Monique Snoeck Conference proceedings 2022 Springe

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https://doi.org/10.1007/978-3-031-23344-9ods. However, they are often criticized for being black-box models. Without allowing analysts to understand what such models have learned, it is difficult to establish trust in their abilities..In this work, we propose a technique to infer a likelihood graph from a next event predictor (NEP) to capt
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https://doi.org/10.1007/978-1-4939-7708-6nd large on the explanation of behavior, partially by help of features that relate to multiple perspectives beyond just pure control flow. However, techniques to provide insights into the connection between data elements of related events have been missing so far. Such connections are relevant for s
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https://doi.org/10.1007/978-1-4939-7708-6arch questions. A leading step inthe search for relevant evidence is composing Boolean search queries, which are still at the core of how information retrieval systems work to perform an advanced literature search. Building these queries thus requires going from the general aims of the research ques
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Salvatore Capozziello,Valerio Faraonita science projects. They allow not only the pipeline definition but also the code generation needed to execute the project providing an easy way to carry out the projects even for non-expert users. However, there are still some challenges that these tools do not address yet, e.g. the possibility of
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Hisashi Nakamura,Toshio Yamagatansights from process mining projects and techniques have been associational rather than causal, thus only describing the current state of the process, without predictive capabilities over effects of hypothetical process changes, which inherently limits business process optimisation efforts. In this
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