Rough sets and intelligent data analysis
By Zdzislaw Pawlak. Information Sciences, 2002
708 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e3cb6c14af78063ceed205e4eea74c799946fc7e
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In Computational Theory and Mathematics
In Information Systems
In Management Science and Operations Research
Citations in the corpus
- Defining information systems as work systems: implications for the IS field (2008, neutral): “Pawlak (2002) “An information system is a data Rybnik (1992, p. 182) “An information system is a pair A = (U, A), where U - is a nonempty, finite set called the universe and A - is a nonempty, finite set of attributes.””
- Support Vector Machine (2016, methodology): “Rough set theory Rough set theory [11, 12] has been introduced by Zdzislaw Pawlak to deal with imprecise or vague concepts, it has been developed for knowledge discovery in databases and experimental data set.”