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» AISEC: an artificial immune system for e-mail classification
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ADMA
2005
Springer
143views Data Mining» more  ADMA 2005»
13 years 10 months ago
A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS)
: Artificial Immune Systems are a new class of algorithms inspired by how the immune system recognizes, attacks and remembers intruders. This is a fascinating idea, but to be accep...
Lingjun Meng, Peter van der Putten, Haiyang Wang
ICARIS
2007
Springer
13 years 11 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
ICARIS
2003
Springer
13 years 10 months ago
A Danger Theory Inspired Approach to Web Mining
Within immunology, new theories are constantly being proposed that challenge current ways of thinking. These include new theories regarding how the immune system responds to pathog...
Andrew Secker, Alex Alves Freitas, Jon Timmis
CEC
2007
IEEE
13 years 11 months ago
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier
— AIRS (Artificial Immune Recognition System) has shown itself to be a competitive classifier. It has also proved to be the most popular immune inspired classifier. However, rath...
Andrew Secker, Alex Alves Freitas
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 5 months ago
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm
As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). U...
Feng Gu, Julie Greensmith, Robert Oates, Uwe Aicke...