Observatorio de I+D+i UPM

Memorias de investigación
Other publications:
Anita Wasilewska, Ernestina Menasalvas Ruiz: Data Preprocessing and Data Mining as Generalization.
Year:2008
Research Areas
  • Artificial intelligence
Information
Abstract
We present here an abstract model in which data preprocessing and data mining proper stages of the Data Mining process are are described as two different types of generalization. In the model the data mining and data preprocessing algorithms are defined as certain generalization operators. We use our framework to show that only three Data Mining operators: classification, clustering, and association operator are needed to express all Data Mining algorithms for classification, clustering, and association, respectively. We also are able to show formally that the generalization that occurs in the preprocessing stage is different from the generalization inherent to the data mining proper stage
International
Si
Entity
Place
Pages
469-484
Reference/URL
Data Mining: Foundations and Practice 2008: Vol. 118 Springer 2008, ISBN 978-3-540-78487-6
Publication type
Capitulo de libro
Participants
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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