Data Mining Classification Associative Classifiers MPGN Multidimensional Numbered Information Spaces ArM 32
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Serdica Journal of Computing, Vol. 5, No 4, (2011), 385p-414p
The article briefly presents some results achieved within the PhD project R1876Intelligent Systems’ Memory Structuring Using Multidimensional Numbered Information Spaces, successfully defended at Hasselt University. The main goal of this article is to show the possibilities of using multidimensional numbered information spaces in data mining processes on the example of the implementation of one associative classifier, called MPGN (Multilayer Pyramidal Growing Networks).
his article presents some of the results of the Ph.D. thesis Class Association Rule Mining
Using MultiDimensional Numbered Information Spaces by Iliya Mitov (Institute of Mathematics
and Informatics, BAS), successfully defended at Hasselt University, Faculty of Science on 15
November 2011 in Belgium