Browsing by Author "Çakar, Tuna"
Now showing items 1-20 of 22
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Boarding pass detection ın social media to prevent flight ınformation thft
Ekici, Hasan Oktay (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)During the past few years, along with social media gaining bigger share on people’s lives, everyone has started to share their moments with detailed information on multiple platforms instantly. Sharing these kinds of ... -
Chuen analysis of Gittigidiyor customers
Kantarcı, Özlem Hazal (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 ... -
Classification of skin lesion images with deep learning approaches
Bayram, Buket; Kulavuz, Bahadır; Ertuğrul, Berkay; Bayram, Bülent; Bakırman, Tolga; Çakar, Tuna; Doğan, Metehan (University of Latvia, 2022)Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image ... -
Consumer neuroscience perspective for brands: how do brands influence our brains?
Çakar, Tuna; Girişken, Yener (IGI Global, 2020)Neuroscientific tools have increasingly been used by marketing practitioners and researchers to understand and explain several different questions that have been issued for a specific company or a general understanding. ... -
Credit risk models using machine learning models
Akman, Özkan (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Credit scoring is an important subject in financial institutions, mainly in banks. I want to examine some machine learning techniques to find out a model that performs good in predicting or classifying the loaner person a ... -
Curvature effect on aesthetic perception
Demircioğlu, Tuna Esin; Çakar, Tuna; Girişken, Yener (Cognitive Science Society, 2022)Aesthetic perception is an inseparable part of the decision-making process in daily life. It also is an important partof the beauty and therefore tastes. The determination of preferences is directly related to the subregions ... -
Customer segmentation and churn prediction via customer metrics
Çakar, Tuna; Bozkan, Tunahan; Sayar, Alperen; Ertuğrul, Seyit (IEEE, 2022)Bu çalışmada faktoring sektöründe faaliyet gösteren müşterilerin geçmişte yapmış oldukları işlem hareketleri ve sahip oldukları risk, limit ve şirket verileri üzerinden, son işlem tarihlerinden sonra gelecek üç ay içerisinde ... -
Detecting the effect of voice-over in tv ads via optic brain imaging (fnirs) and in-depth interview methods
Girisken, Yener; Çakar, Tuna (2016)Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of ... -
Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing?
Cedden, Gülay; Eken, Aykut; Çakar, Tuna (Elsevier, 2021)The current study aims at contributing to the interpretation of the most prominent language-related ERP effects, N400 and P600, by investigating how neural responses to congruent and incongruent sentence endings vary, when ... -
fNIRS ve makine öğrenmesi ile beğeni tahmini: Öznitelik indirgeme yöntemlerinin karşılaştırılması
Köksal, Mehmet Yiğit; Çakar, Tuna; Tuna, Esin; Girişken, Yener (IEEE, 2022)Davranışsal örüntüleri tespit etmede genel olarak kullanılan fMRI yöntemi pahalı ve pratik olmayan özellikleriyle dikkat çekmektedir. Buna karşın yakın kızılötesi spektroskopi (fNIRS) yöntemi daha ucuz ve portatif özelliklere ... -
An investigation of the neural correlates of purchase behavior through fNIRS
Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior ... -
Machine learning applications to increase customer satisfaction ın finance sector
Yiğit, Leyla (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)In this project, consumers’ complaints about financial data are analyzed. After the analysis, we aim to provide a tool for financial companies such as banks, Lenders that will help them in managing communication with the ... -
Market analysis - Aydınlı Group
Öney, Çağlayan Özgür (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)In this paper, we have analyzed the purchase transaction data of Aydınlı Group. Aydınlı offers their customers diverse set of products by providing Polo, Cacharel and Pierre Cardin brands on both retail and online store. ... -
Market basket analysis using apriori algorithm
Şimşek, Yıldırım Murat (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 ... -
The neural correlates of the effect of belief in free will on third-party punishment: An optical brain imaging (fNIRS) study
Çakar, Tuna; Akyürek, Güçlü; Erözden, Ozan; Şahin, Türkay; Keskin, İrem Nur; Ünlü, Meryem; Özen, Deniz Hazal; Özen, Zeynep (Cognitive Science Society, 2022)Third party punishment (TPP), or altruistic punishment, is specifically human prosocial behavior. TPP denotes the administration of a sanction to a transgressor by an individual that is not affected by the transgression. ... -
Özgür irade inancının cezalandırma davranışına etkisi
Akyürek, Güçlü; Çakar, Tuna; Erözden, Ozan (Zoe Kitap, 2021)Özgür irade kavramı kişinin aldığı kararlarda ve gerçekleştirdiği davranışlarda ilk neden olabilme yetisini ifade eder. Kişi, önceki herhangi bir belirlenmiş olguya mutlak anlamda tabi olmaksızın karar alabiliyor ve ... -
Siyasal parti liderlerine ilişkin seçmen algısının beyin görüntüleme yöntemiyle ölçülmesi üzerine pilot bir araştırma
Çakar, Tuna; Girişken, Yener; Erdoğan, Çağdan (2021)Siyasi partilerin ve parti liderlerinin seçmen tarafından nasıl algılandığı sorusu siyasi pazarlama araştırma konularının başında gelen sorulardan biridir. Son dönemde pazarlama araştırmalarında beyin görüntüleme yöntemleri ... -
Trangling weratedogs twitter data to create interesting and trustworthy explosatory/predictive anaylses and visulation using different machine learning algorithms
Arı, Esra (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Social media usage has rapidly grown in recent years and knowledge in these environments increased due to this expansion. Therefore, doing exploratory and predictive analysis from intensive data of social media became so ... -
Underlying the bias for human music evaluation
Yıldırım, Burak (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)Predictive analysis is the process of using data analytics to predict the future over historical data. Data analytics is the use of statistical modelling and / or machine learning methods to measure the future. In short, ... -
The use of neurometric and biometric research methods in understanding the user experience during product search of first-time buyers in E-commerce -- Conference Paper
Çakar, Tuna; Rızvanoğlu, Kerem; Öztürk, Özgürol; Zengin Çelik, Deniz; Gürvardar, İrfan (Springer, 2017)Understanding user experience (UX) during e-commerce has been a relatively important research area especially in the last decade. The use of conventional methods in UX such as task-observation, in-depth interviews and ...
