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Yan, S. (2005). Design of enterprise crisis predicting system based on cluster and outlier data mining. In B. C. B. Van de Walle (Ed.),
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management
(pp. 143–145). Brussels: Royal Flemish Academy of Belgium.
Abstract:
In order to solve such problems as half-structured and non-structured data analysis in enterprise crisis predicting system, a predicting system based on cluster and outlier data mining is put forward. The system organization, frame construction, function and working principles are illustrated. And the working process is showed by an example of cheat predicting. The experimental results show that this method is efficient and it is a new way to solve such problems.
Keywords:
Forecasting
;
Industry
;
Information systems
;
Statistics
;
Cluster
;
Crisis predicting system
;
Frame construction
;
Working process
;
Data mining
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POSTER SESSION
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