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Author Yan, S. pdf  isbn
openurl 
  Title Design of enterprise crisis predicting system based on cluster and outlier data mining Type (up) 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 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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