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New Statistical Developments in Data Science

SIS 2017, Florence, Italy, June 28-30

Rosanna Verde (Hrsg.), Filomena Racioppi (Hrsg.), Alessandra Petrucci (Hrsg.)

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ca. 117,69 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”.  The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.

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Schlagwörter

Big Data, Dimensional Reduction, High Dimensional Data Quality Validation, Complex Data Analytics, Data Analysis, Data Modeling, Open Data, Proceedings, Knowledge Based Methods, Information and Computer Science, Data Science, Machine Learning, Relational and Complex Data, Sampling Extraction, Structured and no-structured Data, Optimization, Pattern Selection, Pattern Recognition