Data Mining with R: Learning with Case Studies

By Luís Torgo. 2010

566 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0ad813edf0d664eb8dfe4e2194bd470fed16bb66

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Citations in the corpus

mlr: Machine Learning in R (2016, background): “Comparison to Similar Toolkits/Frameworks Several other R packages provide frameworks for handling prediction models, including caret (Kuhn, 2008), DMwR (Torgo, 2010), CORElearn (Robnik-Sikonja and with contributions from John Adeyanju Alao, 2016), rattle (Williams, 2011), rminer (Cortez, 2010), CMA”
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning (2016, methodology): “ Nogueira, and Christos K. Aridas. Lemaˆıtre, Nogueira, and Aridas proaches have been speciﬁcally proposed to handle such datasets. Such standalone methods have been implemented mainly in R language (Torgo, 2010; Kuhn, 2015; Dal Pozzolo et al., 2013). Up to our knowledge, however, there is no python”
ROSE: a Package for Binary Imbalanced Learning (2014, methodology): “It is worth mentioning package DMwR (Torgo, 2010), which provides a specific function (smote) to aid the estimation of a classifier in the presence of class imbalance, in addition to extensive tools for data mining problems (among others, functions to compute evaluation metrics as well as different…”
OpenML: networked science in machine learning (2014, methodology): “nd organized online for easy access, reuse and discussion. Moreover, OpenML links to data available anywhere online, and is being integrated [41] in popular data mining platforms such as Weka [13], R [5; 40], MOA [4], RapidMiner [42] and KNIME [3]. This means that anyone can easily import the data i”
scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data (2019, methodology): “To create the partitions, we used the SMOTE algorithm [48] to account”
Bug report, feature request, or simply praise? On automatically classifying app reviews (2015, methodology): “• Classification algorithms: Which classifier algorithm works better (N. Bayes vs. D. Tree, vs. MaxEnt)?”