Conference Topics

 

Conference topics include (but are not limited to):

  • Supervised learning approaches
  • Unsupervised learning approaches
  • Semi-supervised approaches
  • Deep learning approaches
  • Abnormalitities in numeric data, text, voices, images and videos
  • Abnormalitities vs. Outliers
  • Applications of abnormality Detection in healthcare, water production and distribution systems, industrial plants, driving systems, and more
  • Teaching issues
  • Regulatory and legal issues related to abnormality detection

 

 

Methodology

  • Anomaly Detection in Time Series Data
  • Advanced Clustering methods for anomaly detection
  • Data cleaning methods
  • Features selection for anomaly detection
  • Efficiency models for anomaly detection
  • Multi variables anomaly detection methods
  • Supervised and unsupervised methods for anomaly detection
  • New methods for Contextual outliers
  • New methods for Collective outliers
  • Recent and updated algorithms for abnormality detection
  • Performance evaluation of abnormality detection procedures
  • Manual and automatics methods for abnormal events classification
  • HMI methodology for abnormality detection
  • Abnormality detection applications
  • Abnormality detection technology: an integration challenge
  • Cloud-based system for abnormality detection
  • Security issues in abnormality detection
  • Classification methods for abnormally event types

 

 

Applications

  • Implementation of any of the above technique for water, electricity, commerce, energy or any infrastructure of public utility
  • Case study of anomaly detection