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Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method

Year 2012, Volume: 2012 Issue: 2, 1 - 16, 03.12.2012

Abstract

The EU membership and accession process are essential in economical and social aspects for Turkey and many other non-member states. In this study the criteria for determining the candidate states and how these criteria affect the accession process have been a question for debate recently. The purpose of the study is to investigate whether the level of economic development criteria had an impact on the EU accession process and if they have an impact, to determine which economic criteria are the most important. The model, developed as a result of this study, allows the states considering applying for full membership to estimate their acceptance time. In line with the purpose of the study, Inflation Rates, Export, Import, Exchange Rates, Unemployment Rates, Total Labor, Fixed Capital Investments, Gross Domestic Product and Population Density variables of Turkey and 20 EU member states have been analyzed. Macroeconomic data is calculated based on the change in the values between the year of application for full membership and the year they are awarded full membership. Since the founder states were not subject to accession process they are not under scope of the study. In application, the C4.5 algorithm data was manually derived, and certain rules have been reached. The data used in the manual solution of the C4.5 algorithm were then applied to the J48 and J48-Part algorithms in WEKA (Waikato Environment for Knowledge Analysis) computer program and the obtained results have been discussed.

References

  • Berson, A., Smith S. & Thearling, K. (1999). Building Data Mining Applications for CRM. McGraw-Hill Companies. Doğan, N. & Özdamar, K. (2003). Chaid Analizi ve Aile Planlaması ile Bir Uygulama, T.Klin Journal of Medical Science. vol.23, No. 5, pp. 392-397. Dormen, D. (2003). Bankacılık Sektöründe Müşteri İlişki Yönetimi: CRM Acısından VM Yöntemi. Doctorate Thesis. Dunham, M.H. (2003). Data Mining Introductory and Advanced Topics. Southern Methodist University: Pearson Education Inc. Eker, H. (2006). Veri Madenciliği veya Bilgi Keşfi 1-2. http://www.ikademi.com/insan-kaynaklari-bilgi-sistemleri/621 Han, J. & Kamber, M. (2006). Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufman Publishers. Hand, D., Mannila, H. & Smyth P. (2001). Principles of Data Mining. MIT Press Kabatepe, E., 2005. Müzakere Sürecinde AB ve Türkiye. Ankara: TURKAB. Kandartzic, M. (2003). Data Mining Concepts Models and Algorithms. John Wiley& Sons. Myatt, J.G. (2007). Making Sense of Data A Practical Guide to Exploratory Data Analysis and Data Mining. A John Wiley& Sons, Inc., Publication. Larose, T.D. (2005). Discovering Knowledge in Data An Introduction to Data Mining. A John Wiley& Sons, Inc., Publication Quinlan, J.R. (1993). C4.5 Programs For Machine Learning. California: Morgan Kaufman Publisher Seidman , C. (2001). Data Mining with Microsoft SQL Server 2000. Washington: Microsoft Press. Tan, P.N., Steinbach M. & Kumar, V. (2006). Introduction to Data Mining. Boston: Pearson Addison Wesley. Witten, I.H. & Frank, E. (2005). Data Mining Practical Machine Learning Tools and Techniques. Second Edition, Department of Computer Science University of Waikato: Morgan Kaufman Publisher
Year 2012, Volume: 2012 Issue: 2, 1 - 16, 03.12.2012

Abstract

References

  • Berson, A., Smith S. & Thearling, K. (1999). Building Data Mining Applications for CRM. McGraw-Hill Companies. Doğan, N. & Özdamar, K. (2003). Chaid Analizi ve Aile Planlaması ile Bir Uygulama, T.Klin Journal of Medical Science. vol.23, No. 5, pp. 392-397. Dormen, D. (2003). Bankacılık Sektöründe Müşteri İlişki Yönetimi: CRM Acısından VM Yöntemi. Doctorate Thesis. Dunham, M.H. (2003). Data Mining Introductory and Advanced Topics. Southern Methodist University: Pearson Education Inc. Eker, H. (2006). Veri Madenciliği veya Bilgi Keşfi 1-2. http://www.ikademi.com/insan-kaynaklari-bilgi-sistemleri/621 Han, J. & Kamber, M. (2006). Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufman Publishers. Hand, D., Mannila, H. & Smyth P. (2001). Principles of Data Mining. MIT Press Kabatepe, E., 2005. Müzakere Sürecinde AB ve Türkiye. Ankara: TURKAB. Kandartzic, M. (2003). Data Mining Concepts Models and Algorithms. John Wiley& Sons. Myatt, J.G. (2007). Making Sense of Data A Practical Guide to Exploratory Data Analysis and Data Mining. A John Wiley& Sons, Inc., Publication. Larose, T.D. (2005). Discovering Knowledge in Data An Introduction to Data Mining. A John Wiley& Sons, Inc., Publication Quinlan, J.R. (1993). C4.5 Programs For Machine Learning. California: Morgan Kaufman Publisher Seidman , C. (2001). Data Mining with Microsoft SQL Server 2000. Washington: Microsoft Press. Tan, P.N., Steinbach M. & Kumar, V. (2006). Introduction to Data Mining. Boston: Pearson Addison Wesley. Witten, I.H. & Frank, E. (2005). Data Mining Practical Machine Learning Tools and Techniques. Second Edition, Department of Computer Science University of Waikato: Morgan Kaufman Publisher
There are 1 citations in total.

Details

Primary Language English
Journal Section 2012/2 Makaleler
Authors

Dilek Altaş This is me

Vildan Gülpınar This is me

Publication Date December 3, 2012
Published in Issue Year 2012 Volume: 2012 Issue: 2

Cite

APA Altaş, D., & Gülpınar, V. (2012). Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method. Sosyal Bilimler Metinleri, 2012(2), 1-16.
AMA Altaş D, Gülpınar V. Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method. Sosyal Bilimler Metinleri. December 2012;2012(2):1-16.
Chicago Altaş, Dilek, and Vildan Gülpınar. “Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method”. Sosyal Bilimler Metinleri 2012, no. 2 (December 2012): 1-16.
EndNote Altaş D, Gülpınar V (December 1, 2012) Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method. Sosyal Bilimler Metinleri 2012 2 1–16.
IEEE D. Altaş and V. Gülpınar, “Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method”, Sosyal Bilimler Metinleri, vol. 2012, no. 2, pp. 1–16, 2012.
ISNAD Altaş, Dilek - Gülpınar, Vildan. “Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method”. Sosyal Bilimler Metinleri 2012/2 (December 2012), 1-16.
JAMA Altaş D, Gülpınar V. Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method. Sosyal Bilimler Metinleri. 2012;2012:1–16.
MLA Altaş, Dilek and Vildan Gülpınar. “Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method”. Sosyal Bilimler Metinleri, vol. 2012, no. 2, 2012, pp. 1-16.
Vancouver Altaş D, Gülpınar V. Comparison of the Economical Indicators of Turkey and European Union States via Decision Tree Method. Sosyal Bilimler Metinleri. 2012;2012(2):1-16.