Advances in Data Science:Symbolic, Complex, and Network Data, Volume 4

Advances in Data Science:Symbolic, Complex, and Network Data (Innovation, Entrepreneurship, Management; Big Data, Intelligence and Data Analaysis) 1st Edition
Author:Edwin Diday,Rong Guan,Gilbert Saporta,Huiwen Wang
Publisher Finelybook 出版社:Wiley-ISTE; 1st edition (February 5, 2020)
Language 语言:English
pages 页数:258 pages
ISBN-10 书号:1786305763
ISBN-13 书号:9781786305763

Book 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 Author: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


下载地址:

Advances in Data Science Symbolic, Complex, and Network Data, Volume 4 9781786305763.rar (访问密码:142857)

隐藏内容1积分,请先!没有帐号? 注 册 一个!
赞(0) 觉得文章有用就打赏一下
未经允许不得转载:finelybook » Advances in Data Science:Symbolic, Complex, and Network Data, Volume 4

评论 下载问题及网盘链接失效反馈!

评论前必须登录!

觉得文章有用就打赏一下

支付宝扫一扫打赏

微信扫一扫打赏