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Now showing items 21-30 of 73
Building footprint extraction using deep learning techniques
(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 ...
End of day cash amount prediction of all bank branches
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Today, although there are different payment methods available, most of the daily payments are made in cash¹. Accordingly, people's cash demand continues consistently. Due to its presence in most common networks, being as ...
Loaction based recommendation system using flickr geotagged photos
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Flickr is a worldwide photo sharing application. In this project, photos with location information provided by Flickr will be used. By utilizing this location information, a recommendation system that recommends users the ...
Predicting ompact of product and user features on the sales in an e-commerce site
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
In recent years, the ratio of online shopping to total shopping has been increasing continuously. Many factors affect sales of e-commerce sites. Prior to purchasing, users are concerned whether the features of the products ...
Association rule mining on ticket sales data
(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 ...
Text classification using apache spark
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
One of the biggest problems of enterprises which are marketplace e-commerce business model with social platform; The improper communication of their social platform is the negative impact of the customer experience and the ...
A case study on churn prediction and understanding customer behavior
(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 ...
Carbon price forecasting
(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 ...
Sms spam detection in Turkish language
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Short message (SMS) is one of the most common communication methods. The growth of mobile phone users has led to a dramatic increase in using short messages. With the increasing number of mobile phone users, mobile phone ...
Second-hand car price estimation using machine learning
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
The ones who think to sell their cars always think about their cars’ second-hand market worth, at first. Both for the sellers and the buyers, it is crucially important to estimate the car’s realistic worth, in order not ...