posted by user: saplaa || 525 views || tracked by 1 users: [display]

QABiD 2018 : Quality Aspects in Big Data Systems

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/quatic2018/thematic-tracks/track-quality-aspects-in-big-data-systems
 
When Sep 4, 2018 - Sep 7, 2018
Where Coimbra, Portugal
Submission Deadline May 4, 2018
Categories    big data
 

Call For Papers


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

Related Resources

ICDM 2020   20th IEEE International Conference on Data Mining
Big Data 2020   IEEE International Conference on Big Data
ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence
ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
Recommender Systems 2020   Data Science for Next-Generation Recommender Systems
ICDM 2020   Call for Short&Industry Papers / 20th Industrial Conference on Data Mining ICDM 2020
BDTA 2020   BDTA 2020 - 10th EAI International Conference on Big Data Technologies and Applications
IDEAL 2020   IDEAL 2020 : Intelligent Data Engineering and Automated Learning
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP