3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Conference Call for Papers

Scope

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.

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Topics

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

Publication

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)

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Community Review

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