The 3rd IEEE/ACM International Conference on Big Data Science, Engineering and Applications (BDSEA)

 

Date: December 6-9, 2016

Location: Shanghai, China

Website: http://computing.derby.ac.uk/bdsea2016/

 

Important Dates:

  - Paper Submission Due:  30 July, 2016

  - Author Notification:   21 August, 2016

  - Final Manuscript Due:  21 September, 2016

 

The IEEE/ACM International Conference on Big Data Science, Engineering, and Applications (BDSEA) is an annual international conference series. The first two events were held in London (BDC 2014) and Cyprus (BDC 2015) respectively. In 2016, the conference has been expanded to explicitly include application and renamed as BDSEA 2016. The conference series aims to provide a platform for researchers to present their new discoveries, developments, results, as well as the latest trends in big data computing and applications.

 

BDSEA 2016 will be held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) at Tongji University, Shanghai, China.

 

Topics of interest include, but are not limited to:

 

               I. Big Data Science

                              Big Data Analytics

                              Innovative Data Science Models and Approaches

                              Data Science Practice and Experience

                              Algorithms for Big Data

                              Novel Big Data Search Techniques

                              Innovative data and Knowledge Engineering approaches

                              Data Mining and Knowledge Discovery Approaches for Big Data

                              Big Data Acquisition, Integration, Cleaning, and Best Practices

                              Experience reports in Solving Large Scale Data Science Problems

 

               II. Big Data Infrastructures and Platforms

                              Scalable computing models, theories, and algorithms

                              In-Memory Systems and platforms for Big Data Analytics

                              Programming Systems for Big Data

                              Cyber-Infrastructures for Big Data

                              Performance evaluation reports for Big Data Systems

                              Fault tolerance and reliability of Big Data Systems

                              I/O and Data management Approaches for Big Data

                              Energy-efficient Algorithms

                              Storage Systems (including file systems, NoSQL, and RDBMS)

                              Resource management Approaches for Big Data Systems

                              Many-Task Computing

                              Many-core computing and accelerators

 

               III. Big Data Security and Policy

                              Big Data Archival and Preservation

                              Big Data Management Policies

                              Data Privacy

                              Data Security

                              Big Data Provenance

                              Ethical and Anonymization Issues for Big Data

                              Big Data Compliance and Governance Models

 

               IV. Big Data Applications

                              Experience Papers with Big Data Application Deployments

                              Big Data Applications for Internet of things

                              Scientific application cases studies on Cloud infrastructure

                              Big Data Applications at Scale

                              Data streaming applications

                              Mobile Applications of Big Data

                              Big Data in Social Networks

                              Healthcare Applications such as Genome processing and analytics

                              Enterprise Applications

 

               V. Visualization of Big Data

                              Visual Analytics Algorithms and Foundations

                              Graph and Context Models for Visualization

                              Analytical Reasoning and Sense-making on Big Data

                              Visual Representation and Interaction

                              Big Data Transformation, and Presentation

 

Programme Chair BDSEA 2016 -- http://computing.derby.ac.uk/bdsea2016/

 

Professor Ashiq Anjum, BE (Elect Eng), MSc (CS), PhD (CS), FHEA

Professor of Distributed Systems

Department of Computing and Mathematics

College of Engineering and Technology

University of Derby

Kedleston Road Derby, UK

DE22 1GB

Email: ashiq.anjum@cern.ch & a.anjum@derby.ac.uk

Phone: +44 (0) 1332 591881 & 44 (0) 772 4017071

Web: http://www.derby.ac.uk/staff/ashiq-anjum/