Witschel, Hans Friedrich

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Witschel
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Hans Friedrich
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Witschel, Hans Friedrich

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2010 - 20185
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Typ: 04 - Beitrag Sammelband oder Konferenzschrift ×

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  • Vorschaubild
    Publikation
    Determining Information Relevance Based on Personalization Techniques to Meet Specific User Needs
    (Springer, 2018) Thönssen, Barbara; Witschel, Hans Friedrich; Rusinov, Oleg; Dornberger, Rolf [in: Business Information Systems and Technology 4.0 - New Trends in the Age of Digital Change]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Vorschaubild
    Publikation
    Business Analytics aus der Cloud: Möglichkeiten und Herausforderungen
    (2017) Gatziu Grivas, Stella; Witschel, Hans Friedrich; Peter, Marc K. [in: KMU-Transformation - Als KMU die Digitale Transformation erfolgreich umsetzen]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    An approach for coping with risks in contract management
    (2013) Lutz, Jonas; Thönssen, Barbara; Witschel, Hans Friedrich [in: Knowledge Engineering and Knowledge Management, IC3K 2012]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Learning Business Rules for Adaptive Process Models
    (2012) Hinkelmann, Knut; Witschel, Hans Friedrich; Nguyen, Tuan Q. [in: BUSTECH 2012 - The Second International Conference on Business Intelligence and Technology]
    This work presents a new approach to handling knowledge-intensive business processes in an adaptive, flexible and accurate way. We propose to support processes by executing a process skeleton, consisting of the most important recurring activities of the process, through a workflow engine. This skeleton should be kept simple. The corresponding workflow is complemented by two features: firstly, a task management tool through which workflow tasks are delivered and that give human executors flexibility and freedom to adapt tasks by adding subtasks and resources as required by the context. And secondly, a component that learns business rules from the log files of this task management and that will predict subtasks and resources on the basis of knowledge from previous executions. We present supervised and unsupervised approaches for rule learning and evaluate both on a real business process with 61 instances. Results are promising, showing that meaningful rules can be learned even from this comparatively small data set.
    04 - Beitrag Sammelband oder Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    An Intelligent System for Semi-Automatic Evolution of Ontologies
    (2010) Ramezani, Maryam; Witschel, Hans Friedrich [in: IEEE Conference on Intelligent Systems, 2010]
    04 - Beitrag Sammelband oder Konferenzschrift