Analysis of data selection criteria for a given visualization method
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2021-05-07 18:55
SM ISO690:2012
GRINSHPUN, Vadim. Analysis of data selection criteria for a given visualization method. In: Conference on Mathematical Foundations of Informatics, Ed. 2017, 9-11 noiembrie 2017, Chișinău. Chișinău, Republica Moldova: "VALINEX" SRL, 2017, pp. 83-90. ISBN 978‐9975‐4237‐6‐2.
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Conference on Mathematical Foundations of Informatics 2017
Conferința "Conference on Mathematical Foundations of Informatics"
2017, Chișinău, Moldova, 9-11 noiembrie 2017

Analysis of data selection criteria for a given visualization method


Pag. 83-90

Grinshpun Vadim
 
Institute of Mathematics and Computer Science ASM
 
 
Disponibil în IBN: 19 martie 2018


Rezumat

The author considers how a set of data selection criteria affects the dataset response to the variations in quantity and quality of attributes, describing an observation, for the purposes of minimizing the complexity of the dataset while maintaining the veracity of the outcome for a desired tasking.

Cuvinte-cheie
computer science, data visualization,

big data,

multi-dimensional data, data-selection criteria, dataset reduction