GPR: A Data Mining Tool Using Genetic Programming

GPR: A Data Mining Tool Using Genetic Programming

This paper proposes an inductive data mining technique (named GPR) based on genetic programming. Unlike other mining systems, the particularity of our technique is its ability to discover business rules that satisfy multiple (and possibly conflicting) decision or search criteria simultaneously. We present a step-by-step method to implement GPR, and introduce a prototype that generates productio...

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

Improving Modularity in Genetic Programming Using Graph-Based Data Mining

We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highly fit individuals and modularizing them by creating functions out of the subprograms identified. Empirical evaluation on the lawnmower problem shows that our approach is successful in reducing the number of generations...

Data Mining using Genetic Programming Classification and Symbolic Regression

proefschrift ter verkrijging van de graad van Doctor aan de Universiteit Leiden, op gezag van de Rector Magnificus Dr. Promotiecommissie Promotor: The work in this thesis has been carried out under the auspices of the research school IPA (Institute for Programming research and Algorithmics).

Data Mining Using Grammar Based Genetic Programming and Applications Genetic Programming Series