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oapen-20.500.12657-554062022-06-01T03:31:03Z SIS 2017. Statistics and Data Science: new challenges, new generations Petrucci, Alessandra VERDE, Rosanna bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology 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. 2022-05-31T10:28:45Z 2022-05-31T10:28:45Z 2017 book ONIX_20220531_9788864535210_690 2704-5846 9788864535210 9788892731851 https://library.oapen.org/handle/20.500.12657/55406 ita Proceedings e report application/pdf Attribution 4.0 International 9788864535210.pdf https://books.fupress.com/isbn/9788864535210 Firenze University Press 10.36253/978-88-6453-521-0 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. 10.36253/978-88-6453-521-0 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788864535210 9788892731851 114 1066 Florence open access
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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.
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