The 8th International Conference on Big Data Analytics (BDA 2020) will be held during December 15-18, 2020 at
Ashoka University, India.  The conference will be organized by Ashoka University. BDA 2020 provides an international 
forum for researchers and industry practitioners to share their original research results, practical experiences and
thoughts on big data from different perspectives including storage models, data access, computing paradigms, 
analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research
trends.

BDA 2020 invites original, technically sound, high-quality research papers proposing novel solutions addressing the
problems related to big data analytics as well as case studies and practical experiences with big data. Major topics
of interest to the conference include, but are not limited to: 
            
    Analytics as a Service            
    Architectural Design for Big Data                
    Big Data Analytics for Governance             
    Conceptual/cognitive/programming Models for Big data analytics               
    Clustering of Big Data             
    Data Fusion and Multi Modal Analytics             
    Data Models for Big Data Analyticse             
    Domain-specific Analytics               
    Index Structures for Big Data Analytics                
    Interaction Design for Exploratory Analytics               
    Machine Learning techniques for Big Data                
    Large-scale recommendation systems and graph analysis
    Model Discovery from Big Data            
    NoSQL and non-standard Data Models             
    Physical Data Organization for Big Data              
    Predictive Modelling               
    Rule Mining from Big Data               
    Scalability and Performance issues                 
    Security, privacy and legal issues specific to big data                 
    Semantics of Big Data                  
    Streaming Data Analytics                
    Summarization and Materialized views                
    Topic Modelling                    
    Unstructured and Semi-structured Data Mining