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BDA 2017 : International Conference on Big Data Analytics


When Dec 12, 2017 - Dec 15, 2017
Where Hyderabad, India
Abstract Registration Due Jul 1, 2017
Submission Deadline Jul 10, 2017
Notification Due Sep 21, 2017
Final Version Due Oct 1, 2017

Call For Papers

Recently, data generation at the scale of terabytes, petabytes and exabytes have become commonplace in many scientific and commercial domains. Streaming data, social media content, electronic medical records, astronomy surveys, genomic and proteomic studies and similar areas generate data at a scale that is becoming increasingly difficult to manage using traditional database technologies. Big Data is an umbrella term used for such massive collections of data. Besides volume, analytics has to face challenges like heterogeneity, timeliness, and complexity, velocity and privacy issues. The other challenge is to fuse data sources - of same type or multi-modal and perform joint analytics on the integrated data. The scale of such data poses significant challenges for analytics, going beyond what can be supported by conventional data, storage and retrieval models.

The International Conference on Big Data Analytics (BDA) is set in this backdrop. It 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.

The first BDA conference was successfully held in New Delhi, India, in December 2012 as a part of collaboration between the University of Delhi, India and the University of Aizu, Japan. The enthusiastic response to this event prompted the decision to make the BDA conference as an annual event. BDA 2017 will be held in Hyderabad, Telangana, India in December 2017.

BDA 2017 invites original, technically sound, high-quality research papers. Major topics of interest to the conference include, but are not limited to:

Analytics as a Service
Architectural Design for Big Data, Big Data Governance
Conceptual/cognitive/programming Models for Big data analytics
Clustering of Big Data, Data Fusion and Multi Modal Analytics
Data Models for Big Data Analytics, 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
Privacy Issues in Big Data Analytics, Query Languages and Paradigms
Rule Mining from Big Data, Scalability and Performance issues
Security, privacy and legal issues specific to big data
Semantics and Big Data, Streaming Data Analytics
Summarization and Materialized views, Topic Modelling
Unstructured and Semi-structured Data Mining, Visual Analytics

Information on previous BDA conferences

BDA 2015 -

BDA 2014 -

BDA 2013 -

BDA 2012 -

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