Titlebook: Information Systems Engineering in Responsible Information Systems; CAiSE Forum 2019, Ro Cinzia Cappiello,Marcela Ruiz Conference proceedin

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Using Conceptual Modeling to Support Machine Learning,n organizations; (2) improving the usability of machine learning as decision tools; and (3) optimizing the performance of machine learning algorithms. Based on the CRISP-DM framework, we propose six research directions that should be explored to understand how conceptual modeling can support and extend machine learning.

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Discovering Customer Journeys from Evidence: A Genetic Approach Inspired by Process Mining,e CJMs discovery task and propose a genetic approach to solve it. We explain how our approach differs from traditional process mining techniques and evaluate it with state-of-the-art techniques for summarizing sequences of categorical data.

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User-Centered and Privacy-Driven Process Mining System Design for IoT,ess mining systems. The aim of this paper is to develop a privacy-preserving system design for process mining. The user-centered view on the system design allows to track who does what, when, why, where and how with personal data. The approach is demonstrated on an IoT manufacturing use case.

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: Unity Based BPMN Animator,rtray the reality of the business process. In this paper, we propose our tool ., which creates a custom 3D virtual world from an input . file. Besides this 3-dimensional view of the diagram, we also integrate into . the semantics of the BPMN elements in order to enable the animation.

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Towards an Effective and Efficient Management of Genome Data: An Information Systems Engineering Pe− and therefore used. The contributions of the paper are twofold: to show how ISE in practice provides a better solution using conceptual models as the basic software artefacts, and to reinforce the idea that the adequate technology selection must be the result of a practical ISE-based exercise.

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