Corpus ID: 11647638

A feature construction framework based on outlier detection and discriminative pattern mining

@article{Zimmermann2014AFC,
  title={A feature construction framework based on outlier detection and discriminative pattern mining},
  author={Albrecht Zimmermann},
  journal={ArXiv},
  year={2014},
  volume={abs/1407.4668}
}
  • Albrecht Zimmermann
  • Published 2014
  • Mathematics, Computer Science
  • ArXiv
  • No matter the expressive power and sophistication of supervised learning algorithms, their effectiveness is restricted by the features describing the data. This is not a new insight in ML and many methods for feature selection, transformation, and construction have been developed. But while this is on-going for general techniques for feature selection and transformation, i.e. dimensionality reduction, work on feature construction, i.e. enriching the data, is by now mainly the domain of image… CONTINUE READING

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