Quality Aspects in Big Data Systems, Coimbra, Portugal

"Big Data" has become a major force of research progress in HPC&#8211;based data mining and innovation across enterprises of all sizes&#046; A lot of new platforms with increasingly more features for managing big datasets have been proposed recently&#046; Big Data mining is also related to the management of cloud and modern HPC clusters&#046; Quality assurance in Big Data mining in such systems is the important research and engineering challenge in today&#8242;s data intensive computing&#046; Quality in Big Data systems can be directly related to the quality of data &#8211; poor quality data is predominant in many such systems&#046; The velocity of Big Data directly refers to data quality problems&#046; On the other hand, Big Data processing and analytics requires high quality services and resource and data management tools&#046;<br>In this thematic track, we expect new concepts and research results addressing all quality issues in Big Data Systems&#046; Suggested topics of interest include, but are not restricted to:<br>Quality in Big Data Fusion and Integration<br>Big Data Quality Management<br>Big Data Quality Metrics<br>Big Data management across distributed databases and datacentres<br>Algorithms and Approaches for Detecting Outliers, Duplicate Data, and Inconsistent Data<br>Security aspects in Big Data Processing and Analytics<br>Algorithms and Approaches for Big Data Healing<br>Big Data Persistence and Preservation<br>Efficiency versus Accuracy Trade&#8211;off<br>Data Quality in Distributed and Streaming Analytics<br>Big Data Quality in cloud systems<br>Big Data Quality in monitoring the e&#8211;health and human behaviour<br>