Themes

We invite contributions on Big Data from Space addressing data volume, velocity, variety and veracity.

Major topics include, but are not limited to:

  • physical models for sensors and simulations
  • data models for sensor, signal, image, simulation, engineering and statistics data
  • data assimilation
  • linked data, semantic web
  • spatio-temporal and multi-temporal analysi
  • data lifecycle, including acquisition/sensing, cleaning, categorizing, sharing
  • pattern recognition and knowledge discovery
  • data mining, data analytics, visual data analytics
  • data and information visualization
  • data access and processing paradigms
  • multidimensional, NoSQL and NewSQL databases
  • data compression and decompression
  • distributed service architectures, high performance computing, cloud computing (IaaS, PaaS, SaaS), virtualization
  • new and low cost hardware (FPGA, GPU, ASIC, SSD, quantum computing,…)
  • cyberinfrastructure for scientific computing and eScience
  • cybersecurity
  • standards and their use
  • data use: data quality, provenance, trust, privacy
  • Big Data use cases in Earth, Space & Engineering
  • reference data and benchmarks
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