The BigDIA 2023 will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision-making. Topics of interest include, but are not limited to:

Fundamental theories for Big Data analytics

• Statistical theories for Big Data
• Computer science theories for Big Data
• Mathematical theories for Big Data
• Big Data computing: architecture, infrastructure, database, algorithm, platform, visualization
• Programming models and environments for cluster, cloud, and grid computing to support Big Data
• Swarm intelligence
• Cognitive computing for Big Data

Application areas

• EHR and health care Big Data
• Bioinformatics
• Precision medicine
• Multimedia and multi-structured Data
• Finance and economics
• Wearable or mobile device data
• Internet of things
• Big Data prediction and decision-support systems
• Cloud/Grid/Stream data mining- big velocity data
• Big Data management in cloud

• Industrial Big Data