Conference Proceedings

An Agent-based Classification Model

Feng Gu, Uwe Aickelin, Julie Greensmith

The 9th European Agent Systems Summer School 2007 | Unknown | Published : 2007

Abstract

The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS). AIS are adaptive systems inspired by theoretical immunology and observed immune functions, principles and models which are applied to problem solving. The Dendritic Cell Algorithm (DCA)[2] is an AIS algorithm that is developed specifically for anomaly detection. It has been successfully applied to ..

View full abstract

University of Melbourne Researchers