Problem-Dependent, Genetically Evolving Data Mining Solutions
Florian Neukart, Sorin-Aurel Moraru, Peter Szakacs Simon · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · 2011
The already introduced generic Data Mining system SHOCID (System applying High Order Computational Intelligence in Data Mining) (Neukart et al., 2011) applies Computational Intelligence (CI) paradigms for solving any numeric Data Mining problem statement.Within this paper, we introduce the evolutionary approach by which the system is able to decide on its own, which of the possible evolutionary approaches suits best for solving a presented problem statement.Moreover, the system is, by the application of genetic algorithms, able to adapt the architecture and learning method of the Data Mining solution until coming to or at least close to the optimal solution.