Special Stream on 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
  • Dr Miki Sirola, Finland 

IPC Committee:

  • Yuri Demchenko, Netherlands
  • Jaime Campos, Sweden
  • Nataliya Kryvinska, Slovak Republic
  • Melnykova Nataliia, Ukraine
  • Vitaly Yakovyna, Ukraine
  • Vasyl Lytvyn, Ukraine
Important Dates

Extended Abstract Submission:
19 March 2023
16 April 2023

Notification of Extended Abstract Acceptance:
02 May 2023
15 May 2023

Camera Ready Papers:
15 June 2023

Sponsors and Partners
Organized and Sponsored by:
Dortmund University of Applied Sciences and Arts, Dortmund, Germany
ruhrvalley Cluster e.V. The DeepTech Innovation Network
EuroPIM – European Partnership for Project and Innovation Management
Research Institute for Intelligent Computer Systems, West Ukrainian National University and V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
Faculty of Computer Information Technologies, West Ukrainian National University
IEEE Ukraine Section I&M / CI Joint Societies Chapter
IEEE Germany Section I&M Society Chapter
MagneticOne Group
MagneticOne
River Publishers
River Publishers