(Enter summary)
Abstract: Visualization is known to be one of the most efficient
data mining approaches. The human eye can capture
complex patterns and relationships, along with detecting the
outlying (exceptional) cases in a data set. The main
limitation of the visual data analysis is its poor scalability: it
is hardly applicable to data sets of high dimensionality. We
use the concepts of Fuzzy Set Theory to automate the
process of human perception. The automated tasks include
comparison of frequency distributions,... (Update)
Context of citations to this paper: More
...depending on human perception of the difference between the mapping functions. We have outlined a general approach to automated perception in [3 4]. For automating the perception of this difference, we are using here the following membership function sg :...
...Abraham Kandel Department of Computer Science and Engineering University of South Florida 4202 E. Fowler Avenue, ENB 118 Tampa, FL 33620, USA E mail: kandel csee.usf.edu Abstract: Most real world databases include a certain amount of exceptional values, generally termed...
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2: Statistics for Management and Economics (context) - Reinmuth, Mendenhall et al. - 1993
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BibTeX entry: (Update)
Last, M., and Kandel, A.: Automated Perceptions in Data Mining, invited paper, to appear in the proceedings of the 8th International Conference on Fuzzy Systems (FUZZ-IEEE'99), Seoul, Korea (1999). http://citeseer.ist.psu.edu/last99automated.html More
@misc{ last99automated,
author = "M. Last and A. Kandel",
title = "Automated Perceptions in Data Mining",
text = "Last, M., and Kandel, A.: Automated Perceptions in Data Mining, invited
paper, to appear in the proceedings of the 8th International Conference
on Fuzzy Systems (FUZZ-IEEE'99), Seoul, Korea (1999).",
year = "1999",
url = "citeseer.ist.psu.edu/last99automated.html" }
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