SCOPE of SDABDT 2023
Contributed papers are solicited describing original works in Statistics, Data Analytics and Big Data Technology. Topics and technical areas of interest include but are not limited to the following:
Statistics |
Data Analytics |
Big Data Technology |
Actuarial Science |
Exploratory Data Analysis |
Algorithms and Systems for Big Data Search |
Astrostatistics |
Statistical and mathematical modeling |
Distributed, and Peer-to-peer Search |
Biostatistics |
Big Data Analysis |
Big Data Search Architectures, Scalability and Efficiency |
Business Statistics |
Data Mining |
Data Acquisition, Integration, Cleaning, and Best Practices |
Data Mining |
Cloud Computing Architecture and Systems |
Visualization Analytics for Big Data |
Data Science |
ETL and Big Data Warehousing |
Computational Modeling and Data Integration |
Energy Statistics |
Data Visualization |
Cloud/Grid/Stream Data Mining- Big Velocity Data |
Engineering Statistics |
Statistical Analysis |
Link and Graph Mining |
Spatial Analysis |
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Semantic-based Data Mining and Data Pre-processing |
Image Processing |
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Mobility and Big Data |
Medical Statistics |
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Multimedia and Multi-structured Data- Big Variety Data |
Psychological Statistics |
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Anomaly and APT Detection in Very Large Scale Systems |
Statistical Mechanics |
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Visualizing Large Scale Security Data |
Statistical Learning Theory |
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Threat Detection using Big Data Analytics |
Mathematical Statistics |
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Privacy Threats of Big Data |
Multivariate Analysis |
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Privacy Preserving Big Data Collection/Analytics |
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HCI Challenges for Big Data Security & Privacy |