Advances in Data Science: Symbolic, Complex, and Network Data (Innovation, Entrepreneurship, Management; Big Data, Intelligence and Data Analaysis)

Advances in Data Science: Symbolic, Complex, and Network Data (Innovation, Entrepreneurship, Management; Big Data, Intelligence and Data Analaysis)

by Gilbert Saporta (Editor), Gilbert Saporta (Editor), Rong Guan (Editor), Huiwen Wang (Editor), Edwin Diday (Editor)

Synopsis

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.

$165.51

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 258
Edition: 1
Publisher: Wiley-ISTE
Published: 31 Mar 2020

ISBN 10: 1786305763
ISBN 13: 9781786305763