References in zbMATH (referenced in 17 articles , 1 standard article )

Showing results 1 to 17 of 17.
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  1. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  2. Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv
  3. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  4. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  5. Knoll, Julian; Stübinger, Johannes; Grottke, Michael: Exploiting social media with higher-order factorization machines: statistical arbitrage on high-frequency data of the S&P 500 (2019)
  6. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  7. Rieger, Jonas: Book review of: Mónica Bécue-Bertaut, Textual data science with R (2019)
  8. Aggarwal, Charu C.: Machine learning for text (2018)
  9. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  10. Peter Wittek and Shi Gao and Ik Lim and Li Zhao: somoclu: An Efficient Parallel Library for Self-Organizing Maps (2017) not zbMATH
  11. Kurt Hornik; Bettina Grün: movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions (2014) not zbMATH
  12. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  13. Kurt Hornik; Ingo Feinerer; Martin Kober; Christian Buchta: Spherical k-Means Clustering (2012) not zbMATH
  14. Stefan Theußl; Ingo Feinerer; Kurt Hornik: A tm Plug-In for Distributed Text Mining in R (2012) not zbMATH
  15. Bettina Grün; Kurt Hornik: topicmodels: An R Package for Fitting Topic Models (2011) not zbMATH
  16. Karatzoglou, Alexandros; Feinerer, Ingo: Kernel-based machine learning for fast text mining in R (2010)
  17. Ingo Feinerer; Kurt Hornik; David Meyer: Text Mining Infrastructure in R (2008) not zbMATH