Geodesic
The problem of the formation of generalized concepts when working with uncertain attributes
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 151-158

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This paper considers the problem of data generalization, taking into account uncertain information in attributes. Algorithms capable of operating with uncertain data are considered. We suggest methods that improve UDT algorithm. The results of experiments on the application of the proposed algorithms are given.
Keywords: generalization problem, undefined numeric attribute, decision tree. 
@article{FSSC_2017_12_2_a5,
     author = {I. I. Astakhova and V. N. Vagin and M. V. Fomina},
     title = {The problem of the formation of generalized concepts when working with uncertain attributes},
     journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
     pages = {151--158},
     publisher = {mathdoc},
     volume = {12},
     number = {2},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FSSC_2017_12_2_a5/}
}
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I. I. Astakhova; V. N. Vagin; M. V. Fomina. The problem of the formation of generalized concepts when working with uncertain attributes. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 151-158. http://geodesic.mathdoc.fr/item/FSSC_2017_12_2_a5/