• Medientyp: E-Book
  • Titel: Big-Data-Analytics in Astronomy, Science, and Engineering : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings
  • Beteiligte: Sachdeva, Shelly [Herausgeber:in]; Watanobe, Yutaka [Herausgeber:in]; Bhalla, Subhash [Herausgeber:in]
  • Erschienen: Cham: Springer International Publishing, 2022.
    Cham: Imprint: Springer, 2022.
  • Erschienen in: Information Systems and Applications, incl. Internet/Web, and HCI ; 13167
  • Ausgabe: 1st ed. 2022.
  • Umfang: 1 Online-Ressource(XIII, 279 p. 123 illus., 101 illus. in color.)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-030-96600-3
  • ISBN: 9783030966003
  • Identifikator:
  • Schlagwörter: Data mining. ; Computer engineering. ; Computer networks . ; Application software. ; Machine learning.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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. .

    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.