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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 ...
Market basket analysis using apriori algorithm
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Predictive analysis is a branch of data engineering that predicts some occurrence or probabilities depend on the data. To make predictions about future events, predictive analytics uses data mining techniques. The process ...
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 ...
Clustering of news in publications
(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 ...
E-commerce customer shurn prediction based machine learning algortihms
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
With the development and popularization of a digital world, human behavior has changed so remarkably. A lot of sectors affected because of this change. One of the most affected areas is the retail sector. People have left ...