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Quality Aspects in Big Data Systems

QABiD 2018

URL: https://sites.google.com/view/quatic2018/thematic-tracks/track-quality-aspects-in-big-data-systems
Event Date: 2018-09-04 ~ 2018-09-07
Submission Date: 2018-05-04
Location: Coimbra, Portugal

Data Mining & Analysis Databases & Information Systems

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

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Quality Aspects in Big Data Systems

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