logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Big Data 7th Ccf Conference Bigdata 2019 Wuhan China September 2628 2019 Proceedings 1st Ed 2019 Hai Jin

  • SKU: BELL-10806230
Big Data 7th Ccf Conference Bigdata 2019 Wuhan China September 2628 2019 Proceedings 1st Ed 2019 Hai Jin
$ 31.00 $ 45.00 (-31%)

4.4

22 reviews

Big Data 7th Ccf Conference Bigdata 2019 Wuhan China September 2628 2019 Proceedings 1st Ed 2019 Hai Jin instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 38.92 MB
Author: Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang
ISBN: 9789811518980, 9789811518997, 981151898X, 9811518998
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Big Data 7th Ccf Conference Bigdata 2019 Wuhan China September 2628 2019 Proceedings 1st Ed 2019 Hai Jin by Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang 9789811518980, 9789811518997, 981151898X, 9811518998 instant download after payment.

This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019.

The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application.


Related Products