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INTERNATIONAL JOURNAL OF MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES New Methods for Exploring the Implications in the Evolution and Patterns of Romanian GDP

By Vasile Paul Bresfelean and Mihaela Göndör


Abstract — In the present article we extend our latest studies where we to explored implications in the progression and patterns of Romanian GDP. We employ data mining techniques, such as model trees and linear regression, over data extracted from statistics, socioeconomic indicators tables and reports from the Eurostat, Romanian National Bank (NBR) and Romanian National Institute of Statistics, over the 2001-2010 period. We continue to present our investigation of GDP patterns spaced out from classic ways, through taxes on production, imports, on income and on wealth, employers ’ social contributions from various fields of economy (agriculture, commerce, constructions, industry, services, financial, banking, etc.) as well as salaries level, based on the data mining tasks

Topics: Tax changes, Data mining, Model trees, Linear regression, M5. T A. Objectives of our study
Year: 2013
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