Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System

@article{Konda2013FeatureSI,
  title={Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System},
  author={Pradap Konda and Arun Kumar and Christopher R{\'e} and Vaishnavi Sashikanth},
  journal={PVLDB},
  year={2013},
  volume={6},
  pages={1306-1309}
}
Enterprise applications are analyzing ever larger amounts of data using advanced analytics techniques. Recent systems from Oracle, IBM, and SAP integrate R with a data processing system to support richer advanced analytics on large data. A key step in advanced analytics applications is feature selection, which is often an iterative process that involves statistical algorithms and data manipulations. From our conversations with data scientists and analysts at enterprise settings, we observe… CONTINUE READING
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Feature Extraction: Foundations and Applications

  • I. Guyon, S. Gunn, M. Nikravesh, L. A. Zadeh
  • New York: Springer-Verlag,
  • 2001
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