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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
ISMIS
2003
Springer
14 years 27 days ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho
APBC
2003
128views Bioinformatics» more  APBC 2003»
13 years 9 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won
CEC
2010
IEEE
12 years 11 months ago
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming
Abstract— In this paper, we describe a method for discriminating between thyroid cell lines. Five commercial thyroid cell lines were obtained, ranging from non-cancerous to cance...
Michael A. Lones, Stephen L. Smith, Andrew T. Harr...
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman