1st International Workshop on Big Data and Machine Learning (BDML'20)
Sofia, Bulgaria, 6 - 9 September, 2020
The increasing use of Information Technology Big Data, IoT and Machine Learning in our lives and the treatment of big volumes of data companies and governments have to face, is going to raise multiple challenges to researchers. Our community will have to find answers to questions like: what are the good solutions to manipulate and analyze large data sets, what are the appropriate mechanisms to transmit these data from one site to another?
Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.
- Big Data and Big Data Science
- Ad hoc and Pervasive Networks
- Cloud, Cluster, Grid and Social Computing
- Intelligent Systems for Networking Systems and IoT
- Intelligent Traffic and Transportation Systems
- Emerging Pervasive/Ubiquitous Technologies.
- Intelligent Systems for Information and System Security.
- Mobile Computing and Wireless Communications
- Semantic Web Technologies
- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
- Organizers reserve right to move accepted papers between FedCSIS events.