Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data

  • Authors:
  • Andres Folleco;Taghi M. Khoshgoftaar;Amri Napolitano

  • Affiliations:
  • -;-;-

  • Venue:
  • ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
  • Year:
  • 2008

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Abstract

Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Bayesian approach to a segmentation model based on the switching linear Gaussian ...