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Disruptive technologies for big data and cloud applicationsproceedings of ICBDCC 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Disruptive technologies for big data and cloud applicationsedited by J. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi.
其他題名:	proceedings of ICBDCC 2021 /
其他題名:	ICBDCC 2021
其他作者:	Peter, J. Dinesh.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xvi, 907 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Big dataCongresses.
電子資源:	https://doi.org/10.1007/978-981-19-2177-3
ISBN:	9789811921773$q(electronic bk.)

Disruptive technologies for big data and cloud applicationsproceedings of ICBDCC 2021 /
Disruptive technologies for big data and cloud applicationsproceedings of ICBDCC 2021 /[electronic resource] :ICBDCC 2021edited by J. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi. - Singapore :Springer Nature Singapore :2022. - xvi, 907 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 9051876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Part I -- Introduction -- Part II -- Data models and machine learning techniques for big data -- Infrastructure, platform, application, business, social and mobile cloud -- Cloud and data privacy -- Data analytics in Cloud -- Big Data & cloud technologies for business and applications and research -- Index.

This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.

ISBN: 9789811921773$q(electronic bk.)

Standard No.: 10.1007/978-981-19-2177-3doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / I57 2021

Dewey Class. No.: 005.7

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