The BigDIA 2024 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