Congress detail

Authors: 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.

Meeting type: Simposio.

Type of job: Artículo Completo.

Production: An Ontology-based Framework to Support Multivariate Qualitative Data Analysis.

Scientific meeting: 24th European Symposium on Computer Aided Process Engineering (ESCAPE).

Meeting place: Budapest.

Organizing Institution: Hungarian Chemical Society - EFCE.

It's published?: Yes

Publication place: Oxford

Meeting month: 6

Year: 2014.

Link: here