Searching for authors named "Dimitris Karagiannis" – sorted by Relevance.
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Towards the Accuracy of Cybernetic Strategy Planning Models: Causal Proof and Function Approximation
- Substantial work has been done in management science to use causal models in order to overcome the complexity underlying strategic planning issues. Based on the analysis of two characteristic methodologies in this area, this paper outlines the need for objective methods to evaluate cause-and-effect
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Using Artificial Neural Networks to prove hypothetic cause-and-effect relations: A metamodel-based approach to support strategic decisions
- Decision models which are based on recent management approaches often integrate cause-and-effect relations in order to identify critical operational measures for a strategic goal. Designers of Decision or Executive Support Systems implementing such a model face the problem that many of the supportin
- Cited by 2 (1 self) – Add To MetaCart
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Metamodelling Platforms
- Abstract. The state-of-the-art in the area of modelling of organisations is based on fixed metamodels. Due to rapid changing business requirements the complexity in developing applications which deliver business solutions is continually growing. To manage this complexity, environments providing flex
- Cited by 12 (1 self) – Add To MetaCart
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Integrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models
- Current workflow management systems (WFMS) offer little aid for the acquisition of workflow models and their adaptation to changing requirements. To support these activities we propose to apply techniques from machine learning, which enable an inductive approach to workflow acquisition and adaptat
- Cited by 26 (3 self) – Add To MetaCart
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Knowledge Selection with ANNs
- The access to information contained in possibly large knowledge bases is a crucial factor in the usability of such a knowledge base. In this paper, we present a method to select information relevant for a query in knowledge bases where the information is represented in a rule-based way. An approach
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© Österreichische Computer Gesellschaft
- o.Univ.Prof.Dr.G.Chroust o.Univ.Prof.Dr.G.Haring Univ.Prof.Dr.G.Kotsis Univ.Doz.Dr.V.Risak
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