Efficiency Measurement in Turkish Coal Enterprises Using Data Envelopment Analysis and Data Mining
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Akpınar, H. (2000). Veri Tabanlarında Bilgi Keşfi ve Veri Madenciliği [Knowledge discovery in databases and data mining]. İstanbul Üniversitesi İşletme Fakültesi Dergisi [Istanbul University Faculty of Management Journal], 29(1), 1-22. (In Turkish).
Aydagün, A. (2003). Veri Zarflama Analizi. [Data envelopment analysis]. Hava Harp Okulu Havacılık ve Uzay Teknolojileri Enstitüsü, HUTEN Yıl Sonu Semineri, İstanbul. [The Air Force Academy Institute of Aeronautics and Space Technology, HUT Year-end Seminar, Istanbul]. (In Turkish).
Bakırcı, F. (2006). Üretimde Etkinlik ve Verimlilik Ölçümü, Veri Zarflama Analizi, Teori ve Uygulama [Production efficiency and productivity measurement, data envelopment analysis, theory and application]. İstanbul: Atlas Yayınları. (In Turkish).
Biesebroeck, J. V. (2007). Robustness of productivity estimates. The Journal of Industrial Economics, LV(3), 529-569.
Golany, B., & Roll, Y. (1989). An aplication procedure for DEA. International Journal of Management Science, 17(3), 237-250.
Han, J., & Kamber, M. (2007). Data mining: Concepts and techniques. Amsterdam: Elsevier.
Hansson, H. (2007). The links between management’s critical success factors and farm level economic performance on dairy farms in Sweden. Food Economics, Acta Agriculturae Scandinavica, Section C, 4(2), 77-88.
Kantardzic, M. (2003). Data mining: Concepts, models, methods, and algorithms. New Jersey: John Wiley & Sons.
Kontodimonopoulos, N., Moschovakis, G., Aletras, V., & Niakas, D. (2007). The effect of environmental factors on technical and scale efficiency of primary health care providers in greece, cost effectiveness and resource allocation. BioMed Central.
Koyuncugil, A. S., & Özgülbaş N. (2008). İMKB’de İşlem Gören Kobi’lerin Güçlü ve Zayıf Yönleri: CHAİD Karar Ağacı Uygulaması. [Appication of strengths and weaknesses of SMEs: CHAID decision tree application]. Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Dergisi [Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal], 23(1), 1-21.
Mok, V., Yeung, G., Han, Z., & Li, Z. (2007). Leverage, technical efficiency and profitability: An application of DEA to foreign-ınvested toy manufactoring firms in China. Journal of Contemporary China, 16(51), 259-274.
Olson, D. & Delen, D. (2008). Advanced data mining techniques. Heidelberg: Springer-Verlag.
Özkan, Y. (2008). Veri Madenciliği Yöntemleri, 1. Baskı [Data mining methods (1st ed.)]. İstanbul: Papatya Yayıncılık. (In Turkish).
Pasiouras, F., Liadaki, A., & Zopounidis, C., (2008). Bank efficiency and share performance: Evidence from Greece. Applied Financial Economics, 18, 1121-1130.
Pereira, A. (2006). Economies of scale in blood banking: A study based on data envelopment analysis. Vox Sanguinis, 90, 308-315.
Piramuthu, S. (2004). Evaluating feature selection methods for learning in data mining applications. European Journal of Operational Research, 156(2), 483-494.
Quinlan, J. R. (1993). C4.5: Programs for machine learning. San Fransisco: Morgan Kaufman.
Ramanathan, R. (2003). An ıntroduction to data envelopment analysis: A tool for performance measurement. California USA: Sage Publications.
Seyrek, İ. H., & Ata, H. A. (2010). Veri Zarflama Analizi ve Veri Madenciliği ile Mevduat Bankalarında Etkinlik Ölçümü. [Data envelopment analysis and data mining efficiency measurement in banks]. BDDK Bankacılık ve Finansal Piyasalar [BRSA Banking and Financial Markets], 4(2), 67-84. (In Turkish).
Sinha, R. P. (2008). Business efficiency of public sector commercial banks: A data envelopment approach. ICFAI Journal of Applied Economics, 7-27.
Tamzok, N., & Torun, M. (2005, December 21-23). Türkiye Enerji Politikaları İçerisinde Kömürün Önemi, TMMOB V [Importance of coal energy policy in Turkey, Chamber V]. Enerji Sempozyumu, TMMOB [Energy Symposium, Chamber], Ankara.
Tsiptsis, K., & Chorianopoulos, A. (2009). Data mining techniques in CRM ınside customer segmentation. USA: John Wiley & Sons Publishing.
Zzadeh, A., Ghaderi, S. F., Javaheri, Z., & Saberi, M. (2008). A fuzzy mathematical programming approach to DEA models. American Journal of Applied Sciences, 5(10), 1352-1357.
DOI: http://dx.doi.org/10.3968/j.css.1923669720141001.3046
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