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This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
List of contents
Data Science: Systems.- Big Data Management for Policy Support in Sustainable Development.- Development of the Research Data Archive at OIST.- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery.- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data.- DATA SCIENCE: Architectures.- Autonomous real-time science-driven follow-up of survey transients.- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe.- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer.- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies.- Big Data Analytics in Domain-Specific Systems.- Blockchain Enabled System for Interoperable Healthcare.- Skin cancer recognition for low resolution images.- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System.- Journey of Database Migration From RDBMS to NoSQL Data Stores.- Information Interchange of Web Data Resources.- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems.- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR.- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs.- Experimenting with Assamese Handwritten Character Recognition.- Business Analytics.- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing.- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer.- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment.- Approximate Query Processing with Error Guarantees.
