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Data-Driven Visual Analytics

This special issue belongs to the section “E1: Mathematics and Computer Science“.

Special Issue Information

Dear Colleagues,

Visual data analysis is ubiquitous in many applications, including the Internet of Things, financial analysis, and health monitoring. Data visualization is an essential step in the data science pipeline, whereby analysts examine datasets up-close to extract valuable insights. However, in the era of Big Data, most analyzed datasets are typically large, dynamic, noisy, and heterogeneous. Thus, it is necessary to investigate advanced visual data analytic techniques that address those challenges and to enable efficient and effective visual analytics.

Dr. Mohamed A. Sharaf
Dr. Kostas Stefanidis
Guest Editors

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Keywords

  • visual data exploration
  • data analytics
  • human-in-the-loop data processing
  • scalable and interactive visualization
  • visualization recommendation
  • visual representation and summarization
  • storytelling with data
  • explanations via visualization
  • guidelines for data-driven visual analytics
  • visualization for stakeholders
  • benchmarks for data visualization
  • case and user studies
  • systems and tools
  • mathematical optimization
  • data compression and summarization
  • dimensionality reduction
  • feature selection
  • scientific visualization
  • topological methods in data visualization
  • visualization tools for simulation and modeling

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Mathematics - ISSN 2227-7390
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