Detalle del congreso
Autores: Fernando Roda; Estanislao Musulin.
Resumen: stract In this work, an ontology-based Intelligent Data Analyses (IDA) framework is presented. The proposed approach facilitates a complete quantitative-qualitative data analyses, ranging from simple outliers detection to the identification of qualitative multivariate temporal patterns. A novel ontology has been developed to represent Temporal Abstractions. Two major elements have been considered: a consistent modelling of time series and a proper scheme to operate over temporal relations.
Tipo de reunión: Simposio.
Tipo de trabajo: Artículo Completo.
Producción: An Ontology-based Framework to Support Multivariate Qualitative Data Analysis.
Reunión científica: 24th European Symposium on Computer Aided Process Engineering (ESCAPE).
Lugar: Budapest.
Institución organizadora: Hungarian Chemical Society - EFCE.
Publicado: Sí
Lugar publicación: Oxford
Mes de reunión: 6
Año: 2014.
Página web: aquí