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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

network sensors

biblio

Visible to the public Reducing Data Complexity in Feature Extraction and Feature Selection for Big Data Security Analytics

Submitted by grigby1 on Fri, 02/08/2019 - 4:15pm
  • pubcrawl
  • heterogeneous data
  • Human behavior
  • input logs preprocessing
  • learning (artificial intelligence)
  • machine learning
  • machine learning algorithms
  • Metrics
  • network sensors
  • Feature Selection
  • pyspark
  • Python
  • python API
  • Resiliency
  • security
  • security of data
  • Task Analysis
  • apache spark
  • feature extraction
  • data mining techniques
  • Data mining
  • data complexity
  • cybersecurity threats
  • cybersecurity attacks
  • cyber security
  • computational complexity
  • composability
  • Complexity theory
  • big data security analytics
  • Big Data
  • artificial intelligence security
  • Artificial Intelligence
  • application program interfaces

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