Scope
Big data analytics refers to a large set of data with advanced analytic and intelligent techniques against high volume, incremental data sets that incorporate structured, semi-structured and unstructured data, from different intelligence sources. Big data analytics uses better and faster techniques like artificial intelligence, communication, mobile devices, social media and the Internet of Things to perform decision-making, cost-effective flexible data processing, modelling, predicting of future outcomes and enhanced business intelligence. The Big data and cognitive computation methods are useful for organizing, analysing, collecting, and integrating data from sensors, agents, cloud devices, video/audio, networks, log files, transactional applications, web and social media integrating data for large organizations.

BDCC 2022 addresses the issues and challenges posed by data analytics problems and gives an overview of future research opportunities. BDCC 2022 is open for high-quality research contributions from a wide range of professions including scholars, researchers, academicians, and Industry people. Original research papers and state-of-the-art reviews will be accepted.

Topics
The scope of the conference encompasses, but is not restricted to, the following areas:

Big data and Analytical Database.
Big data Analytics Tools and Machine Learning for Data Analysis.
Big data Analytics in Industries and Ubiquitous Data Science
Signal Processing Architectures, Algorithms and Applications
Medical Big Data Mining and Processing in E-Health Care
Big Intelligence for E-health and Telemedicine
Platform for Privacy Preserving Data Science
Social Data Relationship Ranking on Internet
Data Applications for Cloudera.
Green Technologies in Smart City Computation.
Big Risk Management and Product Development and Innovations
Smart Internet of Things and Vehicular Communications
Bioinformatics and Visualization of data
Big Algorithms for Software Development
Image Computing and Data Science Technology
Natural Language Generation and Clean Data
Text analytics and natural language processing
Big Enterprise for Future Retail.
Data lakes and Open Source Bigdata Software
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, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Additional publication opportunities:

EAI Transactions series (Open Access)
EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)