Conference Information

BDA 2020: International Conference on Big Data Analytics

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Submission Date:
2020-07-06
Notification Date:
2020-09-14
Conference Date:
2020-12-15
Location:
Sonipat, India
Years:
8
Viewed: 19291   Tracked: 2   Attend: 1

Call For Papers

BDA 2020 (International Conference on Big Data Analytics) is an academic conference held in Sonipat, India on 2020-12-15. The paper submission deadline is 2020-07-06. Acceptance notifications are sent on 2020-09-14.

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
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