Conference Information
BDCAT 2019: IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
Submission Date:
2019-09-19 Extended
Notification Date:
Conference Date:
Auckland, New Zealand
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Conference Location
Call For Papers
Context & Scope

The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is
an annual conference series aiming to provide a platform for researchers from both academia and industry to
present new discoveries in the broad area of big data computing and applications.

The first 5 events were held in London, Cyprus, Shanghai, Austin and Zurich.

BDCAT2019 will be held in conjunction with the 11th IEEE/ACM International Conference on Utility and Cloud 
Computing at Auckland University of Technology in the heart of New Zealand's city of sails.

Call for Papers

Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, 
computing paradigms, platforms and applications. 

Topics of interest include but are not limited to:

I. Big Data Science

    Big Data Analytics
    Data Science Models and Approaches
    Algorithms for Big Data
    Big Data Search and Information Retrieval Techniques
    Data Mining and Knowledge Discovery Approaches
    Machine Learning Techniques for Big Data
    Big Data Acquisition, Integration, Cleaning, and Best Practices
    Big Data and Deep Learning

II. Big Data Infrastructures and Platforms

    Scalable Computing Models, Theories, and Algorithms
    In-Memory Systems and Platforms for Big Data Analytics
    Big Data and High Performance Computing
    Cyber-Infrastructure for Big Data
    Performance Evaluation Reports for Big Data Systems
    Storage Systems (including file systems, NoSQL, and RDBMS)
    Resource Management Approaches for Big Data Systems
    Many-Core Computing and Accelerators

III. Big Data Applications

    Big Data Applications for Internet of Things
    Mobile Applications of Big Data
    Big Data Applications for Smart City
    Healthcare Applications such as Genome Processing and Analytics
    Scientific Application Case Studies on Cloud Infrastructure
    Big Data in Social Networks
    Data Streaming Applications

IV. Big Data Trends and Challenges

    Fault Tolerance and Reliability
    Scalability of Big Data Systems
    Energy-Efficient Algorithms
    Big Data Privacy and Security
    Big Data Archival and Preservation

V. Visualization of Big Data

    Visual Analytics Algorithms and Foundations
    Graph and Context Models for Visualization
    Analytics Reasoning and Sense-making on Big Data
    Visual Representation and Interaction
    Big Data Transformation, and Presentation

Manuscript Guidelines and Submission

Submitted manuscripts must represent original unpublished research that is not currently 
under review for any other conference or journal.

Manuscripts are submitted in PDF format and may not exceed ten single-spaced double-column
 pages using 10-point size font on 8.5x11 inch pages, including figures, tables, and references.

Please refer to for
templates and complete formatting instructions.

Manuscripts are submitted via the Easychair Conference Management System:

All manuscripts will be reviewed and judged on correctness, originality,
technical strength, rigour in analysis, quality of results, quality of presentation, and 
interest and relevance to the conference attendees.

The conference proceedings will be published by the ACM and 
made available online via the ACM Digital Library and IEEE Digital Library.

Awards and Special Issues

A selection commission chaired by the BDCAT2019 technical programme committee will select and
acknowledge the best paper and best student paper to receive an award during the conference.

Authors of highly rated papers from BDCAT2019 will be invited to submit an extended version
to a special issue of the prestigious Journal of Cloud Computing and published online by SpringerOpen.
Last updated by Dou Sun in 2019-09-14
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