東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Disruptive technologies for big data...

International Conference on Big Data and Cloud Computing (2021 :)

FindBook

Google Book

Amazon

博客來

Disruptive technologies for big data and cloud applications = proceedings 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 applications/ edited 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:	International Conference on Big Data and Cloud Computing
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xvi, 907 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-2177-3
ISBN:	9789811921773

Disruptive technologies for big data and cloud applications = proceedings 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. 905..

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

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

3166510
Big data
--Congresses.

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

Dewey Class. No.: 005.7

Disruptive technologies for big data and cloud applications = proceedings of ICBDCC 2021 /
LDR:02386nmm a2200349 a 4500 001 2302667
003 DE-He213
005 20220801100850.0
006 m d
007 cr nn 008maaau
008 230409s2022 si s 0 eng d
020 $a 9789811921773 $q (electronic bk.)
020 $a 9789811921766 $q (paper)
024 7 $a 10.1007/978-981-19-2177-3 $2 doi
035 $a 978-981-19-2177-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b I57 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b I61 2021
111 2 $a International Conference on Big Data and Cloud Computing $n (5th : $d 2021 : $c Coimbatore, India) $3 3603224
245 1 0 $a Disruptive technologies for big data and cloud applications $h [electronic resource] : $b proceedings of ICBDCC 2021 / $c edited by J. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi.
246 3 $a ICBDCC 2021
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xvi, 907 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 905
505 0 $a 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.
520 $a 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.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Peter, J. Dinesh. $3 2133016
700 1 $a Fernandes, Steven L. $3 3486264
700 1 $a Alavi, Amir H. $3 2162380
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v. 905. $3 3603225
856 4 0 $u https://doi.org/10.1007/978-981-19-2177-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)