Advances in Data Science
by Diday, Edwin
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 fol…
Read More ↓Title Statements
- Full title :Advances in Data Science / Diday, Edwin.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2020
- Edition:1st edition
Publication Statements
- Publisher(s):Wiley-ISTE
- Place of Publication:Erscheinungsort nicht ermittelbar
- Language:eng
- Publication Date:2020
Notes
Online resource; Title from title page (viewed February 5, 2020).
The Physical Object
- Description:1 online resource (258 pages)
Edition Identifiers
- ISBN:9781786305763, 1786305763
- oclc:on1225629819
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