Browsing by Author "Küçükaydın, Hande"
Now showing items 1-19 of 19
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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 ... -
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 ... -
Bilevel models on the competitive facility location problem
Aras, Necati; Küçükaydın, Hande (Springer, 2017)Facility location and allocation problems have been a major area of research for decades, which has led to a vast and still growing literature. Although there are many variants of these problems, there exist two common ... -
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 ... -
Determining and evaluating new store locations using remote sensing and machine learning
Höke, Berkan; Turgay, Zeynep Zerrin; Ünsalan, Cem; Küçükaydın, Hande (Tübitak, 2021)Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the ... -
Determining the most vulnerable components in a transportatıon network
Küçükaydın, Hande; Aras, Necati (Yıldız Technical University, 2018)Transportation networks belong to the class of critical infrastructure networks since a small deterioration in the service provision has the potential to cause considerable negative consequences on everyday activities. ... -
Fastseller&worstseller project (boston matrix text classification analysis)
Tunçel, Ahmet (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)… -
Forecasting with ensemble methods: an application using fashion retail sales data
Yüzbaşıoğlu, Orkun Berk (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)In this project, ensemble methods of machine learning are used to predict short term store sales of a fashion retailer. Sales forecasts of various products at different stores are generated for a span of three months with ... -
Gradual covering location problem with multi-type facilities considering customer preferences
Küçükaydın, Hande; Aras, Necati (Elsevier, 2020)In this paper, we address a discrete facility location problem where a retailer aims at locating new facilities with possibly different characteristics. Customers visit the facilities based on their preferences which are ... -
Hotel recommendation for online travel agencis
Kılıçlı, Cem (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 ... -
Improved business model representation of innovation concepts
Dorantes-Gonzalez, Dante Jorge; Küçükaydın, Hande; Özlem, Şirin; Bulgan, Gökçe; Aydın, Utkun; Son Turan, Semen; Karamollaoğlu, Nazlı; Teixeira, Frederico Fialho (World Conference on Technology, Innovation and Entrepreneurship, 2015)Except for academics and consultants, the concept and purpose of innovation (not to mention related concepts such as “Open Innovation", "Free-Intellectual Property Innovation," or "Open Source Innovation") is usually unclear ... -
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 customer satisfaction via structed and unstructured data using classification and regression
Danışman, Efehan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)According to different studies, retaining existing customers is five or more times more costly than acquiring new ones. This study aim to understand what customers expect from an airline using machine techniques. Dataset ... -
Predicting outcomes and ımproving game models for football matches
Göçer, Murat (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)This study is conducted to predict the results of the 2017/2018 English Premier League football matches and show the teams what they should pay attention to in order to win. In this study, classification algorithms are ... -
Scoring neighborhoods for locating atm using machine learning
Yıldırım, Oğuzhan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Facility location is a general problem that is important for many different sectors and it is even more important when building the facility costs too much. In this project we analyzed the neighborhoods of Turkey and built ... -
Suicide tendency classification and suicide number prediction forpopulation subgroups
Ak, Mehmet (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)Suicide is becoming a bigger problem for the world day by day and detecting population subgroups who are more prone to suicide is seen as one of the most important steps for taking precautions to decrease the suicide rates. ... -
Zaman pencereli ve değişken başlama zamanlı bir araç rotalama problemi için sütun türetme temelli matsezgiseller
Küçükaydın, Hande (DergiPark, 2019)In this study, a vehicle routing problem with time windows is investigated, where the costs depend on the total duration of vehicle routes and the starting time from the depot for each vehicle is determined by a decision ...
