Colloquium Archive

Application Of Genetic Programming To Fraud Detection And Security

Bill Wilson, Security Consulting, Cupertino, California

05/04/2006

Genetic Programming is a machine learning method that has been successfully applied to problems as diverse as designing radio antennas, jet engines, and analysis of the human genome. It can be used to find patterns that characterize specific types of data and transactions. This talk will give a brief introduction to genetic programming and explore its potential applications to problems in network security and financial fraud. In particular the talk will consider what specific types of problems genetic programming will most likely be able to effectively address. It will also present remaining challenges in the practical application of genetic programming to these problems.

Spring 2006 Short Presentations Of Student Research

STUDENT PRESENTATIONS

05/11/2006

Short presentations of research carried out by Sonoma State Computer Science Students

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