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