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Towards automatic generation of conceptual interpretation of clustering

Autor
Pérez, A.; Gibert, Karina
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2007-11-01
Volum
4756
Pàgina inicial
653
Pàgina final
663
DOI
https://doi.org/10.1007/978-3-540-76725-1_68 Obrir en finestra nova
Resum
In this paper the Methodology of conceptual characterization by embedded conditioning CCEC, oriented to the automatic generation of conceptual descriptions of classifications that can support later decision-making is presented, as well as its application to the interpretation of previously identified classes characterizing the different situations on a WasteWater Treatment Plant (WWTP). The particularity of the method is that it provides an interpretation of a partition previously obtained on an...
Paraules clau
Hierarchical clustering, Knowledge Discovery and Data Mining, class interpretation
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants