Advances in Data Science

Symbolic, Complex, and Network Data

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Éditeur :

Wiley-ISTE


Paru le : 2020-01-23



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Description
Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.
Pages
258 pages
Collection
n.c
Parution
2020-01-23
Marque
Wiley-ISTE
EAN papier
9781786305763
EAN PDF
9781119695103

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
258
Taille du fichier
8346 Ko
Prix
163,47 €
EAN EPUB
9781119694960

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
258
Taille du fichier
17480 Ko
Prix
163,47 €

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