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Design of enterprise crisis predicting system based on cluster and outlier data mining
Yan, S.
B. Van de Walle, B.C.
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.
urn:ISBN:9076971099
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Design%20of%20enterprise%20crisis%20predicting%20system%20based%20on%20cluster%20and%20outlier%20data%20mining&stitle=ISCRAM%202005&issn=2411-3387&isbn=9076971099&date=2005&spage=143&epage=145&aulast=Yan&aufirst=S.&pub=Royal%20Flemish%20Academy%20of%20Belgium&place=Brussels&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=1117
citekey:Yan2005
citation: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.
2005
ConferencePaper
text
Forecasting
Industry
Information systems
Statistics
Cluster
Crisis predicting system
Frame construction
Working process
Data mining
file:http://idl.iscram.org/files/yan/2005/1117_Yan2005.pdf
Royal Flemish Academy of Belgium
English
2411-3387
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management
2005
143
145
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