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Yayın Erosion of Central Bank independence in Turkey(Routledge Journals, Taylor & Francis Ltd, 2019-01-01) Demiralp, Seda; Demiralp, SelvaThis study provides empirical analysis to show increasing pressures over the Central Bank of Turkey (CBT) throughout the past decade where the CBT gives into such pressures, despite the Central Bank Law, which ensures tool independence. The study suggests that the relations between the government and the CBT reflect recent political changes where the government increased its control over state institutions, following rising costs of losing office. However, this trend not only has economic costs such as a restricted capacity to achieve price stability and sustainable growth but it also limits horizontal accountability of state institutions.Yayın Re-mining positive and negative association mining results(Springer-Verlag Berlin, 2010) Demiriz, Ayhan; Ertek, Gürdal; Atan, Sabri Tankut; Kula, UfukPositive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the pYayın Re-mining item associations: Methodology and a case study in apparel retailing(Elsevier Science BV, 2011-12) Demiriz, Ayhan; Ertek, Gürdal; Atan, Sabri Tankut; Kula, UfukAssociation mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analysis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.
