Methods and algorithms of information generalization in noisy databases

Authors:
Vadim Vagin;Marina Fomina
Affiliations:
Moscow Power Engineering Institute, Technical University, Moscow, Russia;Moscow Power Engineering Institute, Technical University, Moscow, Russia
Venue:
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Year:
2010

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Abstract

The problem of information generalization with account for the necessity of processing the information stored in real data arrays which may contain noise is considered. Noise models are presented, and a noise effect on the operation of generalization algorithms using the methods of building decision trees and forming production rules is developed. The results of program modeling are brought about.