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Browsing Boğaziçi Üniversitesi Tezleri by Subject "Data mining."

Browsing Boğaziçi Üniversitesi Tezleri by Subject "Data mining."

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  • Kurum, Fikri Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    This research is to search for alternatives to the resolution of complex medical diagnosis where human knowledge should be apprehended in a general fashion. Successful application examples show that human diagnostic ...
  • Özseyhan, Yağız Civan. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2009., 2009.)
    In this study, the database of a Turkish online dating site is analyzed to reveal patterns in the personal features of matching couples. By using a functionality of data mining, the Association Rule mining, a set of rules ...
  • Doğan, Neslihan. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2010., 2010.)
    Classification algorithms are the most commonly used Data Mining models that are widely used to extract valuable knowledge from huge amounts of data. Comparing the classification algorithms has been interesting the data ...
  • Günay, Ufuk. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    This study is about an endeavor towards combining association rule mining over data streams and association rule hiding for traditional databases. Mainly, a system for association rule hiding over data streams will be ...
  • Gün, Ajlan Nihat. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in the Social Sciences, 2008., 2008.)
    Assortment Optimization is not just selecting the best products according to the sales performance under a certain category, but also an execution method to apply retailers commercial strategy into market considering all ...
  • Yılmaz, Yeşim. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2019., 2019.)
    In today’s competitive business world, organizations aim to ensure their position by continuously improving their processes to adapt the rapidly changing environment. However, continuous improvement of processes with the ...
  • Çetiner, Erkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Credit Risk Analysis (CRA) is an important and challenging data mining problem in financial analysis domain which is commonly used by many financial organizations. It became one of the most important and hot concept in ...
  • Yıldız, Merve Gamze. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    The aim of this thesis is to extract knowledge for carbon dioxide adsorption over amine modified adsorbents using two data mining techniques that are decision trees (DT) and artificial neural networks (ANN). The experimental ...
  • Buruncuk, Gülçin. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2006., 2006.)
    Data mining is a process of extracting hidden information from largedatabases by analyzing data from different perspectives. Segmentation and profiling analyses are data mining applications used to detect valuable customers ...
  • Barngrover, Michale Kam. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2017., 2017.)
    Data mining methods, including machine learning, have been applied for many years in business contexts and are now receiving a great deal of attention from educators and data scientists in higher education. Accurate, ...
  • Yılmaz, Gülşah. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in Social Sciences, 2010., 2010.)
    Sequential pattern mining is an important data mining task with wide applications. In traditional sequential pattern mining techniques, the main purpose is to discover sequences that are frequent. The information acquired ...
  • Aksoy, İnci. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2010., 2010.)
    The increasing number of hospital infections with considerable morbidity, mortality and economic burden attracts the attention of not only the health-care environment, but also the whole society. In some medical centers, ...
  • Ulaş, Mehmet Aydın. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2001., 2001.)
    Most of the established companies have accumulated masses of data from their customers for decades. With the e-commerce applications growing rapidly, the companies will have a significant amout of data in months not in ...
  • Sayın, Ridade. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    In this thesis, the Recursive Mixed Integer Linear Programming (RMILP) algorithm invented by Prof. Grossman's group at the Carnegie Mellon University is studied. The algorithm is guaranteed to find all the alternate optima ...
  • Çokpınar, Samet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Due to the development of database technology and systems in recent years, there is an enormous increase in data size. This increase makes the data mining one of the hot topic for organizations to determine their strategies. ...
  • Ermiş, Beyza. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Link prediction is the problem of inferring the presence, absence or strength of a link between two entities, based on properties of the other observed links. In the literature, two related types of link prediction problems ...
  • Uluhan, Eray. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2006., 2006.)
    Web mining is defined as the process of using data mining techniques to automatically discover and extract information from semi-or unstructured Web documents and services. This study on Web mining consists of two sections, ...

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