Learning from data originating from evolution.

This project studies data that is generated by evolution and how to learn from it. Such data usually do not satisfy the assumption of being independently and identically distributed that most data mining algorithms make, such that these algorithms give incorrect results. In this project we want to study the properties of data generated by evolution and the effect on the results of data mining techniques. We want to propose new techniques that can analyse such data correctly.

Keywords:Machine learning

Disciplines:Artificial intelligence, Cognitive science and intelligent systems, Applied mathematics in specific fields