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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