Special Stream in Big Data

Big data - a series of approaches, tools and methods for processing structured and unstructured data of huge volumes and significant diversity to obtain results acceptable to humans, effective in terms of continuous growth and distribution across multiple nodes of the computer network. Big data is continuously accumulating in almost every area of human life. This includes any industry that involves either human interaction or computation. These are social media, medicine and banking, as well as device systems that receive numerous results of daily calculations.  Discover how Big Data technologies and analysis tools can transform your business today.

The special stream aims to provide a forum discussing the state-of-art and recent advances in this area, addressing both theoretical and applied implemented approaches, with representatives from academia and industry along with establishing a strong context of national and international research projects and future collaborations.

Topics include, but are not limited to:

  • Big Data, Hadoop and Beyond Hadoop platforms
  • Digital transformation journey, agile management, and the Future of Work
  • Machine Learning and AI technologies
  • Advanced analytics, including data visualization, BI, real-time, predictive, prescriptive
  • Cloud strategies: hybrid, containerization, serverless, micro-services
  • Automated Machine Learning, Edge AI, Augmented Intelligence, Graphical Databases
  • Data governance and quality
  • Voice technologies, continuous intelligence, AI-as-a-Service, Natural Language Processing
  • Cybersecurity, compliance, and privacy
  • Digital Ops including DataOps, AIOps, CloudSecOps

Co-Chairs:

  • Prof. Natalya Shakhovska, Lviv Polytechnic National University, Ukraine
  • Prof. Jaime Campos, Linnaeus University, Sweden
  • Yuri Demchenko, Netherlands (to be confirmed)

IPC Committee:

  • Nataliya Kryvinska, Slovak Republic (to be confirmed)
  • Igor Kotenko, Russia
  • Melnykova Nataliia, Ukraine
  • Miki, Sirola, Finland
  • Vitaly Yakovyna, Ukraine
  • Vasyl Lytvyn, Ukraine
  • Myroslav Komar, Ukraine
Important Dates

Abstract submission:
07 June 2021
23 June 2021

Notification of acceptance:
20 July 2021
31 July 2021

Late paper submission:
28 July 2021
05 August 2021

Notification of Late paper acceptance:
29 July 2021
10 August 2021

Camera ready paper:
28 July 2021
08 August 2021

Early registration:
07 July 2021 - 07 August 2021
19 July 2021 - 19 August 2021

Sponsored by
Chapter
IEEE Ukraine Section I&M / CI Joint Societies Chapter
ICS logo
Research Institute for Intelligent Computer Systems
WUNU Logo
West Ukrainian National University
Faculty_PK
Faculty of Electrical and Computer Engineering
PK logo
Cracow University of Technology
IEEE Ukraine Section
IEEE Ukraine Section
IEEE Poland Section
IEEE Poland Section
MDPI Sensors
MDPI Sensors
River Publishers
River Publishers
Producer of a full range of wireless, low power IoT sensors working with any cloud platform
Dortmund University of Applied Sciences and Arts