Mercurio is a project currently investigated at Politecnico di Milano whose aim is to support the decision-making process of financial investors. Mercurio identifies relevant events both from financial news articles and financial indexes and uses sequential pattern mining to predict exceptional events given their past occurrences and relationships with other events. The process of event recognition, both from textual and numerical data sources, is crucial to successfully reach the goals.

Event recognition strategies applied in the mercurio project

Azzalini D.;Azzalini F.;Mazuran M.;Tanca L.
2017

Abstract

Mercurio is a project currently investigated at Politecnico di Milano whose aim is to support the decision-making process of financial investors. Mercurio identifies relevant events both from financial news articles and financial indexes and uses sequential pattern mining to predict exceptional events given their past occurrences and relationships with other events. The process of event recognition, both from textual and numerical data sources, is crucial to successfully reach the goals.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1146431
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