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Intrusion detection with evolutionary learning classifier systems
2007
Natural Computing
Evolutionary Learning Classifier Systems (LCSs) combine reinforcement learning or supervised learning with effective genetics-based search techniques. Together these two mechanisms enable LCSs to evolve solutions to decision problems in the form of easy to interpret rules called classifiers. Although LCSs have shown excellent performance on some data mining tasks, many enhancements are still needed to tackle features like high dimensionality, huge data sizes, non-uniform distribution of
doi:10.1007/s11047-007-9053-9
fatcat:hwjdqhdph5gq3b3xo3a4apyu2y