Data Mining: Practical Machine Learning Tools and Techniques - Book Review

By J. Geller. SIGMOD record, 2002

711 citations recorded by the source corpus.

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SOLpro: accurate sequence-based prediction of protein solubility (2009, methodology): “For kNN and NN we used Weka (Witten and Frank, 2005), and for SVM we used LIBSVM (Chang and Lin, 2001), which implements the Sequential Minimal Optimization (SMO) algorithm proposed in (Fan et al., 2005).”
The relation between earnings management and financial statement fraud (2011, methodology): “…10 is used for testing, in round two, subsets one through eight and subset 10 are used for training and subset nine is used for testing, and so on (Witten & Frank, 2005). under the Receiver Operating Characteristics Curve of 0.62 and 0.57, respectively).44 Thus, it appears that in addition to…”
An experimental comparison of performance measures for classification (2009, methodology): “The experiments were performed using Witten and Frank (2005), which we extended with several new metrics, not included in the current distribution.”
Event labeling combining ensemble detectors and background knowledge (2014, methodology): “For semi-supervised methods we apply REPTree regression tree as our predictive model (see Sect.”
M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey (2013, methodology): “Weka [15], a java based software tool was used for both M5 model tree and SVM based modelling approaches.”