QUATIC 2018 Track: Quality Aspects in Big Data Systems

[Sabri Pllana]

QUATIC 2018 Track: Quality Aspects in Big Data Systems
Coimbra, Portugal, September 4-7, 2018
Submission deadline: May 4, 2018 (final)
<https://sites.google.com/view/quatic2018/thematic-tracks/track-quality-aspects-in-big-data-systems>


"Big data" has become a major force of research progress in HPC-based data mining and innovation across enterprises of all sizes. A lot of new platforms with increasingly more features for managing big datasets have been proposed recently. Big Data mining is also related to the management of cloud and modern HPC clusters. Quality assurance in Big Data mining in such systems is the important research and engineering challenge in today's data intensive computing. Quality in Big Data systems can be directly related to the quality of data - poor quality data is predominant in many such systems. The velocity of Big Data directly refers to data quality problems. On the other hand, Big Data processing and analytics requires high quality services and resource and data management tools.

In this thematic track, we expect new concepts and research results addressing all quality issues in Big Data Systems. Suggested topics of interest include, but are not restricted to:

    Quality in Big Data Fusion and Integration
    Big Data Quality Management
    Big Data Quality Metrics
    Big Data management across distributed databases and datacentres
    Algorithms and Approaches for Detecting Outliers, Duplicate Data, and Inconsistent Data
    Security aspects in Big Data Processing and Analytics
    Algorithms and Approaches for Big Data Healing
    Big Data Persistence and Preservation
    Efficiency versus Accuracy Trade-off
    Data Quality in Distributed and Streaming Analytics
    Big Data Quality in cloud systems
    Big Data Quality in monitoring the e-health and human behaviour

* Paper submission instructions

Authors should submit through EasyChair (https://easychair.org/conferences/?conf=quatic2018) a PDF version of their paper. Full Papers must be in IEEE CPS format (https://www.ieee.org/conferences/publishing/templates.html) and not exceed 9 pages, including figures, references, and appendices. Work In Progress (WIP) works with relevant preliminary results are limited to 4 pages. Submissions must be original and will be reviewed by the Track Program Committee.

* Track Chairs:

    Joanna Kolodziej – Cracow University of Technology, Poland
    Sabri Pllana - Linnaeus University, Sweden