Human intervention in qualifying process data mining: a case study in a database hypothetical

Authors

  • Juliano Tonizetti Brignoli Universidade Federal de Santa Catarina
  • Egon Sewald Junior Universidade Federal de Santa Catarina
  • Viviane Brandão Miguez Universidade Federal de Santa Catarina
  • Neri dos Santos Universidade Federal de Santa Catarina
  • Fernando Spanhol Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.5007/1518-2924.2012v17nesp1p110

Keywords:

Data Mining, Cognitive Psychology, Knowledge

Abstract

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

Download data is not yet available.

Published

2012-08-17

How to Cite

BRIGNOLI, Juliano Tonizetti; SEWALD JUNIOR, Egon; MIGUEZ, Viviane Brandão; SANTOS, Neri dos; SPANHOL, Fernando. Human intervention in qualifying process data mining: a case study in a database hypothetical. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], p. 110–124, 2012. DOI: 10.5007/1518-2924.2012v17nesp1p110. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2012v17nesp1p110. Acesso em: 3 dec. 2024.