Sürdürülebilir Kalkınma Amaçları

  • MakaleAçık Erişim2019
    A Comparative Study of Machine Learning and Linear Regression in Prediction of Pricing: A Case Study of Used Cars Price Prediction in Turkey

    Ünlü, Ramazan E.; Gül, Ecem; Namli, Ersin

    Used cars market is very buoyant in the World as well as in the Turkey and has a significant size. While sellers are looking for the maximum price for their vehicles, buyers are willing to buy a good quality vehicle with a minimum price. However, during the trading process various problems might occurred and even dealer might not have standard pricing policy for a specific vehicle. In this study, it is focused on whether a pricing policy for a used car can be created or not, collected real data, and applied methods based on statistics and artificial intelligence. As a subbranch of artificial intelligence, In addition to Machine learning’s success in complex problems such as natural language processing, text mining, image processing, it can also outperforms classical methods such as linear regression to solve regression problems. From this point, during this study Artificial Neural Networks, Support Vector Machines and Linear Regression methods are used and compared with the aim of standardizing used cars pricing. Based on the findings, it is possible to standardize used cars pricing with machine learning methods and chosen methods gives better results than classic linear regression method.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2019
    Reflections of Silent Revolution: The Great Picture of SWOT Analysis of the Metropolitan and Provincial Municipalities of Turkey by Text Mining

    Ünlü, Ramazan E.; Demirbağ, Orkun

    There have been significant changes in the sense of both legal and administrative thanks to carrying out the reforms in Turkey who deeply feel neo-liberal policies in the world in public administration domain with new public operation paradigm since 2000s. Through this evolutionary effort in the field of public administration, it is seen that notions, models, principles and techniques based on factors such as productivity, efficiency, quality and cost are used. In strategic planning, after the private sector as the most important link of the ongoing silent revolution in public administration, it started to find its place in the literature of public administration. With the effect of this paradigm change in the discipline of public administration, strategic planning studies, which is an important element used in the field of local government, is one of the areas where both academicians and practitioners work most. By examining the strategic plans between 2015-2019 of 56 metropolitans and provincial municipalities out of 81 cities in Turkey, based on their strengths, weaknesses, opportunities, and threats which encountered in their internal and external environment is tried to determine which field is the most emphasized by text mining.