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Classification, (big) data analysis ...
~
Mola, Francesco.
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Classification, (big) data analysis and statistical learning
Record Type:
Electronic resources : Monograph/item
Title/Author:
Classification, (big) data analysis and statistical learning/ edited by Francesco Mola, Claudio Conversano, Maurizio Vichi.
other author:
Mola, Francesco.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xvii, 242 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Mathematical statistics. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-55708-3
ISBN:
9783319557083
Classification, (big) data analysis and statistical learning
Classification, (big) data analysis and statistical learning
[electronic resource] /edited by Francesco Mola, Claudio Conversano, Maurizio Vichi. - Cham :Springer International Publishing :2018. - xvii, 242 p. :ill. (some col.), digital ;24 cm. - Studies in classification, data analysis, and knowledge organization,1431-8814. - Studies in classification, data analysis, and knowledge organization..
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
ISBN: 9783319557083
Standard No.: 10.1007/978-3-319-55708-3doiSubjects--Topical Terms:
516858
Mathematical statistics.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Classification, (big) data analysis and statistical learning
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This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
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Mathematics and Statistics (Springer-11649)
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W9342824
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11.線上閱覽_V
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EB QA276
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