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» Data Reduction and Ensemble Classifiers in Intrusion Detecti...
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BMCBI
2010
224views more  BMCBI 2010»
13 years 6 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
FBIT
2007
IEEE
13 years 10 months ago
Early Detection of Prostate Cancer with Classifier Ensembles
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
Jörg D. Wichard, Henning Cammann, Carsten Ste...
DIMVA
2004
13 years 8 months ago
Alarm Reduction and Correlation in Intrusion Detection Systems
: Large Critical Complex Infrastructures are increasingly dependent on IP networks. Reliability by redundancy and tolerance are an imperative for such dependable networks. In order...
Tobias Chyssler, Stefan Burschka, Michael Semling,...
FLAIRS
2007
13 years 9 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...
ICTAI
2007
IEEE
14 years 1 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...