Welcome to the Discovery Science special issue. This issue contains both extended papers from the Discovery Science 2016 conference, held in Bari, Italy (19–21 October 2016), as well as new contributions solicited by an open call. Discovery science is a research discipline spanning multiple areas including advances in the development and analysis of methods for discovering scientific knowledge coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains including, but not limited to, biomedical, astronomical, physics and social sciences. Applications to massive, heterogeneous, complex, continuous or imprecise data sets are of particular interest for the discipline.

Introduction to the special issue on discovery science

Ceci M.
;
2018-01-01

Abstract

Welcome to the Discovery Science special issue. This issue contains both extended papers from the Discovery Science 2016 conference, held in Bari, Italy (19–21 October 2016), as well as new contributions solicited by an open call. Discovery science is a research discipline spanning multiple areas including advances in the development and analysis of methods for discovering scientific knowledge coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains including, but not limited to, biomedical, astronomical, physics and social sciences. Applications to massive, heterogeneous, complex, continuous or imprecise data sets are of particular interest for the discipline.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/232137
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