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TJS
2010
182views more  TJS 2010»
14 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
JAIR
2008
171views more  JAIR 2008»
14 years 9 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002
WWW
2001
ACM
15 years 10 months ago
Personalizing E-commerce applications with on-line heuristic decision making
This paper describes new technology based on on-line decision support for providing personalized customer treatments in web-based storefronts and information sites. The central im...
Vinod Anupam, Richard Hull, Bharat Kumar
ECIS
2000
14 years 11 months ago
Enhancing Government Decision Making Through Knowledge Discovery from Data
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
WSC
1997
14 years 11 months ago
Making Better Manufacturing Decisions with AIM
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and p...
Julie N. Ehrlich, William R. Lilegdon