In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
Network intrusion detection is the problem of detecting anomalous network connections caused by intrusive activities. Many intrusion detection systems proposed before use both nor...
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...