EAI is actively monitoring the COVID-19 situation to ensure the safety, comfort and quality of experience
for attendees and a successful course of the event.
EAI is committed to holding the conference in 2020 and Accepted Authors who are unable to attend the event in person will be given
an option to present their submission online. In case the situation prevents the event from taking place in its original location,
it will be held fully in an interactive, live online setting. Find out what EAI conference live streams look like and discover unique benefits
that online participation brings you: Learn more
Accepted Authors will be notified about the final decision regarding the conference setting before the Camera-ready deadline.
Big data paradigm is an interdisciplinary field bringing together computer science, mathematics, statistics and information theory to analyze data for interpretation and prediction. Big data research is characterized by voluminous and incremental datasets and complex data methods. The machine learning methods used in algorithm development are iterative and parallel. These methods can be scaled to handle big data using distributed and parallel computing technologies. Recent technological advances allow for high throughput profiling of data analytics systems in a cost-efficient manner. The low cost of data generation is leading us to the big data era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. Integration of big data from multiple sources has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big data using novel computational approaches, machine and deep learning methods and web-based server tools.
BDCC 2020 addresses the issues and challenges posed by several big data problems and give an overview of the state of the art and the future research opportunities. BDCC 2020 is open to submit high quality research contributions from wide range of professions including scholars, researchers, academicians and Industry people. Original research papers and state of the art reviews will be accepted.
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
The works that will be presented at conference will focus on the following topics:
- Data Science for Cognitive Analysis
- Real-Time Ubiquitous Data Science
- Signal Processing Architectures, Algorithms and Applications
- Algorithm development for big data analysis in E-health, telemedicine
- Biomedical Image Processing and Big Data Applications
- Platform for Privacy Preserving Data Science
- Internet-Based Cognitive Platform
- Social Data Relationship Ranking on Internet
- Data Applications of Cognitive Communication
- Green Technologies in Information, Computing and Big Communication Systems
- Statistics, Data Filtering to Decide What Data to Keep and Informative Aspects
- Machine Learning and Big Data
- Smart Vehicular Communication and Big Data Technology
- Bioinformatics and Big Data Computation
- Big Algorithms and Software Development
- Image Computing and Data Science Technology
- Smart Grid Cyber Security Data Analysis
- Smart City Initiative and Big Applications
- Natural Language Generation
- Sustainable Computer and Communication Model
- Knowledge Engineering, Representation and Extraction
- Cloud Big Computing Services
- Scalable Data Management Systems
- Future Advancements
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Authors of selected papers will be invited to submit an extended version to:
- Emerald – Data Technologies and Applications (Scopus Indexed)
- Mobile Networks and Applications (MONET) Journal (IF: 2.602)
- Springer Wireless Networks (WINET) (IF: 2.659)
All accepted authors are eligible to submit an extended version in a fast track of:
- EAI Endorsed Transactions on Scalable Information Systems (Open Access)
- EAI Endorsed Transactions on Smart Cities (Open Access)
- International Journal of Cloud Computing (Scopus Indexed)
- Keai – Elsevier – International Journal of Intelligence Networks (IJIN)
- International Journal of Intelligence and Sustainable Computing
Additional publication opportunities:
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.
Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here.
Learn more about the Community Review process
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).
Regular Papers: 10 – 20
Short papers: 6 – 10