Browsing by Author "Özlük, Özgür"
Now showing items 1-15 of 15
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Credit card fraud detection analysis and machine learning application
Meker, Tuğrul (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Credit card fraud transaction is a common term for theft and fraud action involving a payment card such as payment or credit card or debit card as a source of funds in transactions. With increased usage of POS channel or ... -
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 ... -
Increasing procurement efficiency through optimal e-commerce enablement scheduling
Cholette, Susan; Clark, Andrew G; Özlük, Özgür (Emerald Group Publishing Ltd., 2019)Purpose: This study aims to show how cost savings can be achieved through optimizing the scheduling of e-commerce enablements. The University of California is one of the largest, most prestigious public education and ... -
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 ... -
Optimal keyword bidding in search-based advertising with budget constraint and stochastic ad position
Küçükaydın, Hande; Selçuk, Barış; Özlük, Özgür (Taylor & Francis, 2019)This paper analyses the search-based advertising problem from an advertiser’s view point, and proposes optimal bid prices for a set of keywords targeted for the advertising campaign. The advertiser aims to maximise its ... -
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, ... -
Predicting the reasonable departments for the human resources related questions by using the text classification algorithms
Sancı, Yavuz (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)The employees of Yapı Kredi Bank use a help desk system to ask their Human Resources related questions to the employees of the Human Resources departments. The questions are assigned automatically to the relevant departments ... -
Predicting transaction numbers İn ATM
Karasu, Ahsen Ceren (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)ATMs continue to be one of the most important channels for banks to touch their customers. They play an active role in life in terms of cash access and banking experience. The ability of a bank to predict the number of ... -
Second-hand car price estimation using machine learning
Kütükde, Şule (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 ... -
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 ... -
Sequential testing in batches
We study a new extension of the Sequential Testing problem with a modified cost structure that allows performing of some tests in batches. As in the Sequential Testing problem, we assume a certain dependence between the ... -
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. -
Steel product clustering and feature-based product price estimation for flat secondary materials
Kemerci, Meryem (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Machine Learning replaces manual and repeatable processes every day, none of the industries can resist these developments. Older systems were rule-based which would bring some level of automation, but all had their limits. ... -
Text classification using apache spark
Azizoğlu, Umut Rezan (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 ... -
Tractor sales forecast using machine learning
Tunay, Yiğitcan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)This study presents a machine learning model to forecast tractor sales using four years of number of tractor sales based on year, month, city, town, brand and model provided by Turkey Statistical Institute. Tractor sales ...
