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Order management performance study
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Vodofone Türkiye'de bütün işlemler (order) adı verilen talepler üzerinden gerçekleştirilir.
Churn prediction of a deal e-commerce website customers
(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 ...
Development and comparison of prediction models for estimating short term energy demand of a hotel building
(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 ...
Predictive cahce management
(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 ...
Sentiment analysis of Hürriyet Emlak
(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
(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 ...
Chuen analysis of Gittigidiyor customers
(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 ...
Risk parameter calculation using princpal component analysis of yield curves: the case of borsa İstanbul fixed income market
(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 ...
Churn prediction in vodafone Turkey
(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
(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.