SIS 2017. Statistics and Data Science: new challenges, new generations
Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017
- Edited by:
- Alessandra Petrucci,
- Rosanna Verde,
The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured.
The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data.
- DOI: 10.36253/978-88-6453-521-0
- Series: Proceedings e report
- Scientific Board: Consiglio Editoriale FUP 2016-2019
- Language: Italian, English
- Subjects: Statistics
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- © 2017 Author(s)
- CC BY 4.0
University of Florence, Italy - ORCID: 0000-0001-9952-0396
University of Campania Luigi Vanvitelli, Italy - ORCID: 0000-0002-9959-4675
Rosanna Verde is full professor of Statistics at the the Department of Mathematics and Physics, University of the Campania “Luigi Vanvitelli” (former Second University of Naples – SUN).
Bibliographic Information
Book Title
SIS 2017. Statistics and Data Science: new challenges, new generations
Book Subtitle
Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017
Editors
Alessandra Petrucci, Rosanna Verde
Peer Reviewed
Publication Year
2017
Copyright Information
© 2017 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/978-88-6453-521-0
eISBN (pdf)
978-88-6453-521-0
eISBN (xml)
978-88-9273-185-1
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846
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