Update cookies preferences

E-book: Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022, Proceedings

Edited by , Edited by , Edited by
  • Format: EPUB+DRM
  • Series: Lecture Notes in Computer Science 13830
  • Pub. Date: 18-Mar-2023
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031283505
Other books in subject:
  • Format - EPUB+DRM
  • Price: 67,91 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.
  • Format: EPUB+DRM
  • Series: Lecture Notes in Computer Science 13830
  • Pub. Date: 18-Mar-2023
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031283505
Other books in subject:

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.

The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.

Data Science: Systems.- Architectures.- Big Data Analytics in Healthcare Support Systems.- Information Interchange of Web Data Resources.- Business Analytics.