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Data science and big data analytics ...

ACM-WIR (Workshop) ((2018 :)

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Data science and big data analytics = ACM-WIR 2018 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science and big data analytics/ edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal.
其他題名:	ACM-WIR 2018 /
其他題名:	ACM-WIR 2018
其他作者:	Mishra, Durgesh Kumar.
團體作者:	ACM-WIR (Workshop)
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xxiv, 406 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Big data - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-7641-1
ISBN:	9789811076411

Data science and big data analytics = ACM-WIR 2018 /
Data science and big data analyticsACM-WIR 2018 /[electronic resource] :ACM-WIR 2018edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal. - Singapore :Springer Singapore :2019. - xxiv, 406 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.162367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.16..

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

ISBN: 9789811076411

Standard No.: 10.1007/978-981-10-7641-1doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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