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D3M: automated data-driven decision making

Authors :
Farré Tost, Carles
Flores Herrera, Javier de Jesús
Nadal Francesch, Sergi
Volkova Volkova, Alexandra
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Services, Information and Data Engineering
Publication Year :
2022
Publisher :
CEUR-WS.org, 2022.

Abstract

Data has an undoubtedly impact on society. Storing, processing and analyzing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change represented by huge and heterogeneous amounts of data. Thus, in order to carry on these data exploitation tasks, organizations must first perform data integration combining data from multiple sources to yield a unified view over them. In this paper, we report on the Automated Data-Driven Decision Making (D3M) project, whose main objective is to provide a mature software solution for automatic data integration with advanced decision making capabilities. This paper has been funded by the Spanish Agencia Estatal de Investigación (AEI) under project / funding scheme PDC2021-121195-I00.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......3484..ea23be2184327c51c9dc7bacfdff34d7