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Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour

Autor
Gibert, Karina; Rodríguez, G.; Annicchiarico, R.
Tipus d'activitat
Article en revista
Revista
Mathematical and computer modelling
Data de publicació
2016-11-12
Volum
57
Número
7-8
Pàgina inicial
1633
Pàgina final
1639
DOI
https://doi.org/10.1016/j.mcm.2011.10.046 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/18474 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0895717711006510 Obrir en finestra nova
Resum
The importance of post-processing the results of clustering when using data mining to support subsequent decision-making is discussed. Both the formal embedded binary logistic regression (EBLR) and the visual profile’s assessment grid (PAG) methods are presented as bridging tools for the real use of clustering results. EBLR is a sequence of logistic regressions that helps to predict the class of a new object; while PAG is a graphical tool that visualises the results of an EBLR. PAG interactive...
Citació
Gibert, Karina; Rodríguez, G.; Annicchiarico, R. Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour. "Mathematical and computer modeling", 28 Novembre 2011, vol. 57, núm. 7-8, p. 1633-1639.
Paraules clau
Clustering, Data mining, Decision-support, Human behaviour, Knowledge discovery from databases, Logistic regression, Post-processing, Profiles assessment grid
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

  • Gibert, Karina  (autor)
  • Rodríguez Silva, Gustavo  (autor)
  • Annicchiarico, Roberta  (autor)