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» Valued Tolerance and Decision Rules
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TJS
2010
182views more  TJS 2010»
13 years 5 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
IOR
2011
107views more  IOR 2011»
13 years 2 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell
PVLDB
2008
127views more  PVLDB 2008»
13 years 6 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
TMI
1998
97views more  TMI 1998»
13 years 7 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...
ICASSP
2011
IEEE
12 years 11 months ago
BEP walls for collaborative spectrum sensing
—The main focus of this paper is to present a performance limitation of collaborative spectrum sensing in cognitive radios with imperfect reporting channels. We consider hard dec...
Sachin Chaudhari, Jarmo Lundén, Visa Koivun...