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Author Yan, S.
Title Design of enterprise crisis predicting system based on cluster and outlier data mining Type Conference Article
Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005
Volume Issue Pages 143-145
Keywords Forecasting; Industry; Information systems; Statistics; Cluster; Crisis predicting system; Frame construction; Working process; Data mining
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.
Address School of Economics and Management, Harbin Engineering University, 150001, China
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title
Series Editor (up) Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971099 Medium
Track POSTER SESSION Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1117
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