Data Mining Using Cultural Algorithms and Regional Schemata

In the paper we demonstrate how evolutionary search for functional optima can be used as a vehicle for data mining. That is, in the process of searching for optima in a multi-dimensional space we can keep track of the constraints that must be placed on related variables in order to move towards the optima. Thus, a side effect of evolutionary search can be the mining of constraints for related variables. Here we use a Cultural Algorithm framework to embed the search and store the results in regional schemata. An application to a large-scale realworld archaeological data set is presented.

• Type: Conference
• Year: 2002
• Where: ICTAI
• Authors: Xidong Jin, Robert G. Reynolds
• Keywords: Artificial Intelligence, Evolutionary Search, Functional Optima, ICTAI 2002, Related Variables