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Modern methods for data mining review Assistant Professor NTUU “KPI” (Kyiv, Ukraine) Nataliia Kuznietsova Day 18.05.17 19.05.17 23.05.17 Name of the lectures/laboratory work Brief introduction to data mining: key points, statistical analysis stages and data mining tools Activities Hours Classroom Lecture 11 - 13 Lab. L11 Bayesian Networks as a Lecture probability tool for data mining Using of GeNIe and SAS for Practice building BN Logistic Regression and logit/ Lecture probit models 15 - 17 Lab. L11 11 - 13 Lab. L11 10 - 12 Lab. L11 Decision Trees and their application for real tasks Mathematical models in SAS Enterprise Miner 14 - 16 Lab. L11 Practice