Human intervention in qualifying process data mining: a case study in a database hypothetical
DOI:
https://doi.org/10.5007/1518-2924.2012v17nesp1p110Keywords:
Data Mining, Cognitive Psychology, KnowledgeAbstract
This article explores arguments about the contributions of the intervention of human analysts in data mining processes. The algorithmic efficiency of these processes is not enough in the pursuit of knowledge dedicated to support decision making in areas with nature complex and voluminous information. Properties of human intellectuality, as inference and perception provide excellent complement to the processes of data analysis. Through case study-based simulation is intended to validate propositions that ensure the fact that the processes of data mining being conducted and interpreted by human analysts, thereby making them, the dynamic characteristic.Downloads
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Copyright (c) 2012 Juliano Tonizetti Brignoli, Egon Sewald Junior, Viviane Brandão Miguez, Neri dos Santos, Fernando Spanhol
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