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» A Linear Genetic Programming Approach to Intrusion Detection
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GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
15 years 2 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
FSS
2006
86views more  FSS 2006»
14 years 9 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
15 years 3 months ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
14 years 11 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood