Now showing items 1-20 of 116

    • Risk parameter calculation using princpal component analysis of yield curves: the case of borsa İstanbul fixed income market 

      Konuk, Hayrettin (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      To enable a trustworthy clearing operation, clearinghouses require conservative margins to avoid the risk of incurring a loss in case one counterparty defaults. When margin requirements for fixed income instruments are ...
    • Development and comparison of prediction models for estimating short term energy demand of a hotel building 

      Yılmaz, Selimcan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      This project presents a machine learning model building approach to developing a model for predicting next hour electricity consumption of a hotel complex in Cyprus, with the aim of improving existing prediction accuracy ...
    • Market analysis - Aydınlı Group 

      Öney, Çağlayan Özgür (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      In this paper, we have analyzed the purchase transaction data of Aydınlı Group. Aydınlı offers their customers diverse set of products by providing Polo, Cacharel and Pierre Cardin brands on both retail and online store. ...
    • Churn prediction in vodafone Turkey 

      Genel, Gökhan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      This Capstone Project focuses on finding a churn pattern in Vodafone postpaid consumer subscribers. The churn value refers to disconnection from subscription via port-out / Mobile number portability (MNP). It is one of ...
    • Smart precision agriculture with autonomous irrigation system using rnn-based techniques 

      Anuşlu, Timuçin (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      The study presents a solution to improve freshwater usage for irrigation in the agriculture by building a neural network model to predict soil moisture at 20 cm level with time series data over longer periods of time.
    • Understandng emotion fluctuations using social media 

      Ceran, Serkan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      During the last years, the importance of social media is increasing in an amazing way. In this paper, we looked at one such popular microblog platform called Twitter and build models for classifying “tweets” into some ...
    • The passanger load factor prediction of airline transport 

      Karakoç, Kalender (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Turkish Airlines is one of the most preferred leading European air carriers with global network coverage thanks to its strict compliance with flight safety, reliability, product line, service quality and competitiveness. ...
    • Gittigidiyor basket analysis 

      Yılmaz, Kerem (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Data Mining is becoming more important for lots of sector and companies worlwide. Because, it can find patterns, correlations, anomalies in the databases which can help us to make accurate future decision. Data Mining ...
    • Duplicate record detection: A rule-based approach 

      Malkaralı, Gülce (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      The study presents a rule based algorithm to detect dublicate and near-dublicate rocords within a dataset that is extracted from a leading online reality platform.
    • Online check-ın likelihood of hotel guests 

      Tiryaki, Yusuf (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Hotel operators benefit from current technological developments in order to provide the best experience for their guests to stay. In the case of an enterprise which providing guest hospitality service, the flow is composed ...
    • Sentiment analysis of Hürriyet Emlak 

      Korkmaz, Alev (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Sentiment analysis refer to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, whether the attitude behind a text ...
    • Hotel recommendation for online travel agencis 

      Kılıçlı, Cem (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Since the early 2000s, online travel agencies (OTAs) have become a central online market source, used by millions of users in all over the world. Recommendation systems became one of the essential tools for them to increase ...
    • Order management performance study 

      Güneş, Vedat (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Vodofone Türkiye'de bütün işlemler (order) adı verilen talepler üzerinden gerçekleştirilir.
    • Chuen analysis of Gittigidiyor customers 

      Kantarcı, Özlem Hazal (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      In this project, it is aimed to estimate the loyalty of the customers of the e-commerce company named GittiGidiyor by analzying the customer movements and examined which movements affected the customer loyalty positively ...
    • Churn prediction of a deal e-commerce website customers 

      Çevik, Müge (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Today, there is a lot of deal e-commerce sites which are essentially marketplaces. They provide deals which are offered by merchandisers. Because of the nature of these sites there is no subscription model; customers ...
    • Fraud detection ın the bitcoin exchange market 

      Namlı, Hüseyin (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      The trading volume and financial assets of Bitcoin are growing up, while the popularity of Bitcoin world increasing continuously in recent years. In parallel, the market becomes an attraction center for malicious people.
    • Underlying the bias for human music evaluation 

      Yıldırım, Burak (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Predictive analysis is the process of using data analytics to predict the future over historical data. Data analytics is the use of statistical modelling and / or machine learning methods to measure the future. In short, ...
    • Predictive cahce management 

      Baltaoğlu, Olcay Gürsel (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
      Major dependency of a mobile application performance is the response time of backend services. Building a cache layer can be a solution in architectural way to provide better experience to user but it cannot affects when ...
    • Predicting facebook ad ımpressions & CPM values 

      Tekten, Semih (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      It is estimated that there are more than two billion active users on Facebook as of the first quarter of 2018 and social media has tremendous opportunities for advertisers in terms of performance and measurability. However, ...
    • Mortality prediction of countries 

      Üşenmez, Elif Efser (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      In this study mortality reasons of countries detailed by sex and age-group is analyzed and different forecasting models are developed by using different machine learning algorithms. The dataset is obtained from the World ...