DMwR

DMwR: Functions and data for ”Data Mining with R”. This package includes functions and data accompanying the book ”Data Mining with R, learning with case studies” by Luis Torgo, CRC Press 2010.

Keywords for this software

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Kandanaarachchi, Sevvandi; Hyndman, Rob J.: Dimension reduction for outlier detection using DOBIN (2021)
  2. Imbert, Alyssa; Vialaneix, Nathalie: Exploring, handling, imputing and evaluating missing data in statistical analyses: a review of existing approaches (2018)
  3. Qiu, Jinwen; Jammalamadaka, S. Rao; Ning, Ning: Multivariate Bayesian structural time series model (2018)
  4. Gong, Joonho; Kim, Hyunjoong: RHSBoost: improving classification performance in imbalance data (2017)
  5. Kutsuna, Takuro; Yamamoto, Akihiro: Outlier detection using binary decision diagrams (2017)
  6. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)