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The use of cultural algorithms with evolutionary programming to control the data mining of large-scale spatio-temporal databases

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2 Author(s)
Reynolds, R. ; Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA ; Al-Shehri, H.

We use an evolutionary computational approach based upon cultural algorithms to guide the incremental learning decision trees by ITI. The results are compared to those produced by ITI itself for a complex real-world database. The results suggest that ITI can indeed produce optimal trees in some cases, and can produce optimal trees using an evolutionary approach in others

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:5 )

Date of Conference:

12-15 Oct 1997