Problem of data analysis and forecasting using decision trees method

T.I. Lytvynenko


This study describes an application of the decision tree approach to the problem of data analysis and forecasting. Data processing bases on the real observations that represent sales level in the period between 2006 and 2009. R (programming language and software environment) is used as a tool for statistical computing. Paper includes comparison of the method with well-known approaches and solutions in order to improve accuracy of the gained consequences.

Problems in programming 2016; 2-3: 220-226


data mining; forecasting; decision making; decision trees; R language

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