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» Classes and clusters in data analysis
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FLAIRS
2007
15 years 6 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...
BMCBI
2006
116views more  BMCBI 2006»
15 years 4 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...
BMCBI
2011
14 years 8 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
CORR
2002
Springer
131views Education» more  CORR 2002»
15 years 4 months ago
Ownership Confinement Ensures Representation Independence for Object-Oriented Programs
for data abstraction and justifies reasoning by simulation. Representation independence has been shown for a variety of languages and constructs but not for shared references to mu...
Anindya Banerjee, David A. Naumann
BIOINFORMATICS
2005
110views more  BIOINFORMATICS 2005»
15 years 4 months ago
Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses
Oligonucleotide fingerprinting is an array-based approach used for analysis of microbial community composition and gene expression profiling. Oligonucleotide fingerprinting of rib...
Katechan Jampachaisri, Lea Valinsky, James Bornema...