Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Silvestro, Montrone"'
Publikováno v:
Computational Science and Its Applications – ICCSA 2018 ISBN: 9783319951676
ICCSA (3)
ICCSA (3)
The application of multivariate techniques is widely used if you want to study phenomena or processes characterized by numerous variables that work simultaneously in time and space. The present contribution - with a view to using spatial statistical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce14d4d979ddf73a14830dde119f284
https://doi.org/10.1007/978-3-319-95168-3_32
https://doi.org/10.1007/978-3-319-95168-3_32
Publikováno v:
RIEDS - Rivista Italiana di Economia Demografia e Statistica. 67(3-4):168-175
Publikováno v:
Computational Science and Its Applications--ICCSA 2015 ISBN: 9783319214696
ICCSA (3)
ICCSA (3)
The “National Strategy for Internal Areas”, made by the Italian Government for the European Union Partnership Agreement 2014-2020, defines the territory of the Italian internal areas as a set of project-areas, local inter-municipal systems each w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79677f5045a6aa4866f64ba24acd0a1e
https://doi.org/10.1007/978-3-319-21470-2_48
https://doi.org/10.1007/978-3-319-21470-2_48
Publikováno v:
Computational Science and Its Applications--ICCSA 2015 ISBN: 9783319214696
ICCSA (3)
ICCSA (3)
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clusters, each consisting of units (families) with a high degree of “natural association”. Different approaches to cluster analysis are characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212b740c7f972f0259e4cb6ba60d4326
https://doi.org/10.1007/978-3-319-21470-2_9
https://doi.org/10.1007/978-3-319-21470-2_9
Autor:
Silvestro Montrone, Paola Perchinunno
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role t
Publikováno v:
International Journal of Business Intelligence and Data Mining. 12:119
Publikováno v:
International Journal of Business Intelligence and Data Mining. 1:1
The multidimensional nature of socio-economic hardship requires a multidimensional research approach, oriented toward advanced solutions, to be able to capture the changing dimensions of the problem at hand. One of such approaches consists of abandon
Publikováno v:
Computational Science and Its Applications – ICCSA 2014 ISBN: 9783319091495
ICCSA (3)
ICCSA (3)
The construction of a structural equation modeling can be used to identify the latent variables underlying a determined phenomenon. Developed thanks to the impulses of the statistician psychometrician Karl Joreskog, such models are increasingly appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4cc97f9a59330a4b18109d8a1511f69
https://doi.org/10.1007/978-3-319-09150-1_15
https://doi.org/10.1007/978-3-319-09150-1_15
Publikováno v:
Computational Science and Its Applications – ICCSA 2014 ISBN: 9783319091495
ICCSA (3)
ICCSA (3)
The objective of this report is the analysis of the data arising from the Family Lifestyles survey conducted by the University of Bari “A. Moro” (2012-2013) through the construction of indicators of socio-economic hardship and the identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5c3bdc3ae7ad653778ff6361b51f32c
https://doi.org/10.1007/978-3-319-09150-1_10
https://doi.org/10.1007/978-3-319-09150-1_10
Autor:
Francesco Selicato, Ana Maria A. C. Rocha, Carmelo Maria Torre, Osvaldo Gervasi, Filippo SCHILLECI, Valentina Ferretti, Silvestro Montrone, Grazia NAPOLI, Jorge Gustavo Rocha, Francesco ROTONDO, Teresa CILONA
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319091495
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ab1a7ec84da99dc4c33fda9e21e3d84
https://doi.org/10.1007/978-3-319-09150-1
https://doi.org/10.1007/978-3-319-09150-1