Big-Data-Analytics in Astronomy, Science, and Engineering

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Details

This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 79, 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.


Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030965990
    • Genre Information Technology
    • Auflage 1st edition 2022
    • Editor Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
    • Lesemotiv Verstehen
    • Anzahl Seiten 296
    • Größe H235mm x B155mm x T17mm
    • Jahr 2022
    • EAN 9783030965990
    • Format Kartonierter Einband
    • ISBN 3030965996
    • Veröffentlichung 18.02.2022
    • Titel Big-Data-Analytics in Astronomy, Science, and Engineering
    • Untertitel 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7-9, 2021, Proceedings
    • Gewicht 452g
    • Herausgeber Springer
    • Sprache Englisch

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