Now showing items 1-20 of 112

    • Ad click prediction using machine learning algorithms 

      Uncu, Nazlı Tuğçe (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      Online advertising has a great potential to boost business’ revenue. One of the key metrics that defines the success of online ad campaigns is click through rate (CTR) which indicates the total number of clicks received ...
    • AirBnb host recommendation engine 

      Arslan, Batuhan (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      In this project, a fifth rule is proposed to reveal guests ' comments about hosts using the recommendation system and sentiment analysis for the super hosts' selection for Airbnb. This project is aimed to contribute to ...
    • Alternative credit scoring model for thin file customers 

      Korkmaz, İstem Akça (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
      Credit scoring is a widely used tool for banks, financial institutions or corporations. Traditional credit score models are calculated from past financial history of users, and this may lead to exclude some people who have ...
    • Analyzing the drivers of customer satisfaction via social media 

      Yücel, Kadir Kutlu (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
      Social media became a great influence force during the last decade. Active social media user population increased with the new generations. Thus, data started to accumulate in tremendous amounts. Data accumulated through ...
    • Association rule mining on ticket sales data 

      Genç, Özge (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      This study aims to analyze the ticket sales data of a cultural institution and define association rules between the festivals/event group and festival/event group venues by market basket analysis. Market basket analysis ...
    • The automatic identification of butterfly species using deep learning methodologies 

      Tek Kara, Seda Emel (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2020)
      Automatic identification of butterflies, especially at an expert level, is needed for important topics such as species conservation studies, minimizing the insect damage on plants in agriculture, and biodiversity conservation. ...
    • benchmarking of recommendation models for an on-line fast fashion retailer 

      Tilkat, Mustafa (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      This project studies the usage of the recommendation engines to improve the sales in an online fashion retailer. Fashion retailers sale variety of products throughout their online channels. Since the number of products can ...
    • Big data analysis on hotel reviews 

      Demir, Burcu (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      This analysis aims to get a regression model of the reviews and the score by the guests to observe the effects of the content of the reviews on scores. The content of the reviews is also suitable for a sentiment analysis. ...
    • Big data analytics on used car information 

      Demir, Efe (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      In this research, a decision support system is implemented on a used car dataset. The main purpose is to predict the price information and reveal the related features. The price prediction problem is classified as a ...
    • Binaların söküm - Yıkım sürecinde atık yönetimi 

      Gümrükçü, Barbaros (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      Yapısal atıklar, yapı ve altyapıların bünyelerinde barındırdığı yapı ürünlerinin ve yapı alanı malzemelerinin, yapım, yenileme, onarım, söküm – yıkım, afet ve alan çalışması gibi etkinlikler sonucunda biçim değiştirerek ...
    • Bir otoyol projesi yapım işlerinin maliyet ve zaman açısından proje yönetim teknikleri ile incelenmesi 

      Dilek, Gülşen (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      Küreselleşen dünyada rekabetin artmasıyla ile birlikte harcanan zamanın değeri ulaştırma sektörüne en etkili şekilde yansımaktadır. Yolcu ve yüklerin belirli bir mesafeye belli koşullarda taşınması olarak tanımlanan, sosyal ...
    • Boarding pass detection ın social media to prevent flight ınformation thft 

      Ekici, Hasan Oktay (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
      During the past few years, along with social media gaining bigger share on people’s lives, everyone has started to share their moments with detailed information on multiple platforms instantly. Sharing these kinds of ...
    • Building footprint extraction using deep learning techniques 

      Deniz, Oytun (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      Geospatial industry is getting bigger and bigger these days in addition to creating massive amount of data. Today map features such as roads, building footprints are created through manual techniques. There is not automated ...
    • Calculation of the capacity of a retail clothing store 

      Türkoğlu, Murat (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
      The purpose of this study is to define and improve the capacity calculation for clothing store companies. It is important to know how many products need to be sent to the relevant store in order to sell more products, ...
    • Carbon price forecasting 

      Karakaya, Nurhak (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      In last twenty years great improvements occurred both in technological advances and in the world economic capacity. The total production capacity of countries has been increasing rapidly. These increases need great usage ...
    • A case study on churn prediction and understanding customer behavior 

      Kıralı, Gülşen (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      Churn prediction is essential for businesses as it helps to detect customers who have the potential to cancel a subscription to a product or service. Churn prediction techniques try to understand the certain customer ...
    • 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 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 ...
    • 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 ...
    • Clustering of news in publications 

      Sülün, Erhan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
      In today’s world, high volume of text is produced and stored continuously by the help of computer systems and Internet. And again by the help of Internet, those huge amount of text data is accessible to everyone. But when ...