Papers will be selected through a review process. After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the Conference Proceedings, which will be submitted to Engineering Village, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.

Topics of interest includes but is not limited to the following:

*Big Data Analysis 

Big Data Analysis Search and Mining
Big Data Analysis Encryption
Big Data Analysis Management
Big Data Analysis Analytics and Metrics
Big Data Analysis Architectures
Big Data Processing and Querying
Data Visualization and Visual Analytics
Evolutionary and Bio-inspired approaches for Big Data analysis
Big Data Visualization
Machine learning based on Big Data
Big Data Analysis Search and Mining
Big data analytics and social media
Data mining, graph mining and data science
Visualization Analytics for Big Data
Big Data Models and Algorithms
Cloud Computing Techniques for Big Data
Big Data in Mobile and Pervasive Computing
Big Data Search and Mining
Novel Computational Intelligence approaches for data analysis

*Big Data Applications

Representation Formats for Multimedia Big Data
New domains and novel applications related to Big Data technologies
Scientific Applications of Big Data
Big Data for Internet of Things (IoT)
Government and Industrial Experiences for Cloud and Big Data
Green Computing and Networking Technologies for Cloud and Big Data
Big Data Education
Big Data Analysis for Business Model Innovation
Big Data Analysis for Enterprise, Government and Society
Big Data Analysis Economics
Big data applications: Bioinformatics
Big Data for Business Model Innovation
Big Data for Enterprise Transformation
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Big Data in Smart Planet Solutions
Machine learning and AI for big data
Real-life Case Studies of Value Creation through Big Data Analytics
SME-centric Big Data Analytics
Software Engineering for Cloud Computing and Big Data