| Autor: |
Pottebaum, Jens, Artikis, Alexander, Marterer, Robin, Paliouras, George |
| Zdroj: |
2012 IEEE 24th International Conference on Tools with Artificial Intelligence; 2012, Vol. 1, p162-169, 8p |
| Abstrakt: |
Artificial Intelligence-based event recognition systems carry high potential for organisations to utilise their structured and unstructured data. The application of these systems as a backbone of decision support systems allows for effective and efficient information management. To sufficiently evaluate such kind of integrated systems recognising events for the benefit of decision makers, a holistic methodology is necessary. We propose a new methodology which complements existing approaches for technology-oriented verification and validation by user-oriented evaluation (user experience analysis). We illustrate the proposed methodology by evaluating EP-IRM, an event processing system for intelligent resource management. This case study shows that our methodology offers invaluable information about the performance and acceptance of an event based decision support system. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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