[hpc-announce] Final CFP: QUATIC 2018 Track: Quality Aspects in Big Data Systems

Sabri Pllana sabri.pllana at lnu.se
Thu Apr 26 04:13:30 CDT 2018

QUATIC 2018 Track: Quality Aspects in Big Data Systems

Coimbra, Portugal, September 4-7, 2018
Submission deadline: May 4, 2018 (final)

"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

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