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

Data Analytics And Management In Data Intensive Domains 1st Ed Leonid Kalinichenko

  • SKU: BELL-7152492
Data Analytics And Management In Data Intensive Domains 1st Ed Leonid Kalinichenko
$ 31.00 $ 45.00 (-31%)

4.8

54 reviews

Data Analytics And Management In Data Intensive Domains 1st Ed Leonid Kalinichenko instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 35.66 MB
Author: Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin
ISBN: 9783319965529, 9783319965536, 3319965522, 3319965530
Language: English
Year: 2018
Edition: 1st ed.

Product desciption

Data Analytics And Management In Data Intensive Domains 1st Ed Leonid Kalinichenko by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin 9783319965529, 9783319965536, 3319965522, 3319965530 instant download after payment.

This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.

The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.

Related Products