References in zbMATH (referenced in 44 articles )

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  1. Bogaert, Matthias; Ballings, Michel; Van den Poel, Dirk: Evaluating the importance of different communication types in romantic tie prediction on social media (2018)
  2. Fop, Michael; Murphy, Thomas Brendan: Variable selection methods for model-based clustering (2018)
  3. Lukas W. Lehnert, Hanna Meyer, Wolfgang A. Obermeier, Brenner Silva, Bianca Regeling, Jörg Bendix: Hyperspectral Data Analysis in R: the hsdar Package (2018) arXiv
  4. Muñoz, Mario A.; Villanova, Laura; Baatar, Davaatseren; Smith-Miles, Kate: Instance spaces for machine learning classification (2018)
  5. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  6. Debón, A.; Chaves, L.; Haberman, S.; Villa, F.: Characterization of between-group inequality of longevity in European union countries (2017)
  7. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017)
  8. Wauters, Mathieu; Vanhoucke, Mario: A nearest neighbour extension to project duration forecasting with artificial intelligence (2017)
  9. Farzad Noorian and Anthony de Silva and Philip Leong: gramEvol: Grammatical Evolution in R (2016)
  10. Manukyan, Artür; Ceyhan, Elvan: Classification of imbalanced data with a geometric digraph family (2016)
  11. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  12. Michael Scholz: R Package clickstream: Analyzing Clickstream Data with Markov Chains (2016)
  13. Ribeiro, Rita P.; Pereira, Pedro; Gama, João: Sequential anomalies: a study in the railway industry (2016)
  14. Tutz, Gerhard; Koch, Dominik: Improved nearest neighbor classifiers by weighting and selection of predictors (2016)
  15. Ustun, Berk; Rudin, Cynthia: Supersparse linear integer models for optimized medical scoring systems (2016)
  16. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  17. Kubrusly, Jessica; Lopes, Hélio: Constructive regression on implicit regions (2015)
  18. Lala Riza; Christoph Bergmeir; Francisco Herrera; José Benítez: frbs: Fuzzy Rule-Based Systems for Classification and Regression in R (2015)
  19. Scott Fortmann-Roe: Consistent and Clear Reporting of Results from Diverse Modeling Techniques: The A3 Method (2015)
  20. Arthur White; Thomas Murphy: BayesLCA: An R Package for Bayesian Latent Class Analysis (2014)

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