Skip to main content
Article thumbnail
Location of Repository

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

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
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.6010
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.naun.org/multimedia... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.