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Titlebook: Intelligent Information Systems; CAiSE Forum 2021, Me Selmin Nurcan,Axel Korthaus Conference proceedings 2021 Springer Nature Switzerland A

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Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approachte the impact of changes in the process, w.r.t. the overall process performance. The framework supports the prediction of future performance based on anticipated activity-level performance changes and control-flow changes. We have applied our approach to several real event logs, confirming our approach’s applicability.
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A Tool for Computing Probabilistic Trace Alignments stochastic Workflow nets. Conceptually, this requires to handle the two possibly contrasting forces of the cost of the alignment on the one hand and the likelihood of the model trace with respect to which the alignment is computed on the other.
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Evaluating Fidelity of Explainable Methods for Predictive Process Analyticsn results to derive insights. The research contributes to evaluating the trustworthiness of explainable methods for predictive process analytics as a fundamental and key step towards human user-oriented evaluation.
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PatternLens: Inferring evolutive patterns from web API usage logsdirection, this paper presents PatternLens, a tool with the aim of supporting providers in planning the changes by analyzing WAPI usage logs. With the use of process mining techniques, this tool infers from the logs a set of usage patterns (e.g., endpoints that are frequently called one after the ot
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