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» Combined Data Mining Approach for Intrusion Detection
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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 4 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
AIPR
2003
IEEE
15 years 7 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
BMCBI
2005
90views more  BMCBI 2005»
15 years 4 months ago
Text Detective: a rule-based system for gene annotation in biomedical texts
Background: The identification of mentions of gene or gene products in biomedical texts is a critical step in the development of text mining applications in biosciences. The compl...
Javier Tamames
CIKM
2008
Springer
15 years 6 months ago
Viability of in-house datamarting approaches for population genetics analysis of snp genotypes
Background: Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population g...
Jorge Amigo, Christopher Phillips, Antonio Salas
IDA
2002
Springer
15 years 3 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut