SIS 2017. Statistics and Data Science: new challenges, new generations Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Petrucci, Alessandra (Editor), VERDE, Rosanna (Editor)
Format: Electronic Book Chapter
Language:Italian
Published: Florence Firenze University Press 2017
Series:Proceedings e report 114
Subjects:
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 oapen_2024_20_500_12657_55406
005 20220531
003 oapen
006 m o d
007 cr|mn|---annan
008 20220531s2017 xx |||||o ||| 0|ita d
020 |a 978-88-6453-521-0 
020 |a 9788864535210 
020 |a 9788892731851 
040 |a oapen  |c oapen 
024 7 |a 10.36253/978-88-6453-521-0  |c doi 
041 0 |a ita 
042 |a dc 
072 7 |a JHB  |2 bicssc 
100 1 |a Petrucci, Alessandra  |4 edt 
700 1 |a VERDE, Rosanna  |4 edt 
700 1 |a Petrucci, Alessandra  |4 oth 
700 1 |a VERDE, Rosanna  |4 oth 
245 1 0 |a SIS 2017. Statistics and Data Science: new challenges, new generations  |b Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017 
260 |a Florence  |b Firenze University Press  |c 2017 
300 |a 1 electronic resource (1066 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Proceedings e report  |v 114 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a Italian 
650 7 |a Sociology  |2 bicssc 
856 4 0 |a www.oapen.org  |u https://library.oapen.org/bitstream/id/108e6031-be66-426a-9bcb-0beb39da52c3/9788864535210.pdf  |7 0  |z OAPEN Library: download the publication 
856 4 0 |a www.oapen.org  |u https://library.oapen.org/handle/20.500.12657/55406  |7 0  |z OAPEN Library: description of the publication