bookJul 25, 2019Closed access

Feature Engineering and Selection

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Abstract

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.

Citation impact

461
total citations
FWCI
25.60
Percentile
100%
References
0
Citations per year

Authors

2

Topics & keywords

Keywords
  • Selection (genetic algorithm)
  • Feature selection
  • Computer science
  • Feature (linguistics)
  • Pattern recognition (psychology)
  • Artificial intelligence
  • Philosophy
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