Italian Machine Learning and Data Mining research: The last years

N Di Mauro; Paolo Frasconi; F Angiulli; D Bacciu; M de Gemmis; F Esposito; N Fanizzi; S Ferilli; Marco Gori; F Lisi; P Lops; D Malerba; A Micheli; M Pelillo; Francesco Ricci; F Riguzzi; Lorenza Saitta; Giovanni Semeraro

doi:10.3233/IA-130050

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Italian Machine Learning and Data Mining research: The last years

Journal article

Peer reviewed

Italian Machine Learning and Data Mining research: The last years

N Di Mauro, Paolo Frasconi, F Angiulli, D Bacciu, M de Gemmis, F Esposito, N Fanizzi, S Ferilli, Marco Gori, F Lisi, …

Intelligenza Artificiale, Vol.7(2), pp.77-89

2013

DOI: https://doi.org/10.3233/IA-130050

Handle:

https://hdl.handle.net/10863/17890

Abstract

With the increasing amount of information in electronic form the fields of Machine Learning and Data Mining continue to grow by providing new advances in theory, applications and systems. The aim of this paper is to consider some recent theoretical aspects and approaches to ML and DM with an emphasis on the Italian research.

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https://content.iospress.com/articles/intelligenza-artificiale/ia050View

Details

Title: Italian Machine Learning and Data Mining research: The last years
Creators: N Di Mauro - University of Bari Aldo Moro
Paolo Frasconi - University of Florence
F Angiulli - University of Calabria
D Bacciu - University of Pisa
M de Gemmis - University of Bari Aldo Moro
F Esposito - University of Bari Aldo Moro
N Fanizzi - University of Bari Aldo Moro
S Ferilli - University of Bari Aldo Moro
Marco Gori - University of Siena
F Lisi - University of Bari Aldo Moro
P Lops - University of Bari Aldo Moro
D Malerba - University of Bari Aldo Moro
A Micheli - University of Pisa
M Pelillo - Venice International University
Francesco Ricci
F Riguzzi - University of Ferrara
Lorenza Saitta - Università degli Studi del Piemonte Orientale “Amedeo Avogadro”
Giovanni Semeraro - University of Bari Aldo Moro
Publication Details: Intelligenza Artificiale, Vol.7(2), pp.77-89
ISSN: 1724-8035
EISSN: 2211-0097
Series / Volume: 7
Publisher: IOS Press
Identifiers: (UNIBZ)1621640
991006050281201241
Web of Science ID: WOS:000217553300004
Scopus ID: n.a.
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Journal article
Author Names String: Di Mauro N, Frasconi P, Angiulli F, Bacciu D, de Gemmis M, Esposito F, Fanizzi N, Ferilli S, Gori M, Lisi F, Lops P, Malerba D, Micheli A, Pelillo M, Ricci F, Riguzzi F, Saitta L, Semeraro G

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