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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
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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