Data Mining: A Knowledge Discovery Approach

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A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning (2013, background): “The literature provides numerous proposals of discretization and some attempts to categorize them into a taxonomy can be found.”
A review of epileptic seizure detection using machine learning classifiers (2020, unknown): “A few related works are been available, where only a decision tree method is applied seizure detection because of less accuracy and a limited number of patterns obtained from the logic rules of a decision tree [122].”
Step away from stepwise (2018, methodology): “[22] recommend stepwise regression as an efficient way of using data mining for knowledge discovery (see also [30–32]).”
Standardization and Its Effects on K-Means Clustering Algorithm (2013, background): “Since it is assumed that the data sets are unlabeled, clustering is frequently regarded as the most valuable unsupervised learning problem (Cios et al ., 2007).”