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Duplicate record detection: A rule-based approach
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
The study presents a rule based algorithm to detect dublicate and near-dublicate rocords within a dataset that is extracted from a leading online reality platform.
Internet baking channel usage
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
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Gittigidiyor basket analysis
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
Data Mining is becoming more important for lots of sector and companies worlwide. Because, it can find patterns, correlations, anomalies in the databases which can help us to make accurate future decision. Data Mining ...
Product recommendation for C2C marketplace with collaborative filtering ALS algorithm
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
In this project, a machine learning recommendation model is created for an e-commerce company which runs a customer to customer business. The raw data consisted order reviews, order details, product like event information ...
Big data analytics on used car information
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
In this research, a decision support system is implemented on a used car dataset. The main purpose is to predict the price information and reveal the related features. The price prediction problem is classified as a ...
Big data analysis on hotel reviews
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
This analysis aims to get a regression model of the reviews and the score by the guests to observe the effects of the content of the reviews on scores. The content of the reviews is also suitable for a sentiment analysis. ...
Yelp review dataset sentiment analysis using machine learning techniques
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Today, internet review sites are becoming a significant criterion for users’ consumption habits on products and services, while being vital source of feedback for businesses. This project aims to present quick feedback on ...
Customer segmentation and customer churn prediction for Babil.com
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
In the past decade, a lot of players have joined into e-commerce market and competition in the market has been increasing lately. The e-commerce companies want to use their resources more efficiently to stay ahead in the ...
AirBnb host recommendation engine
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
In this project, a fifth rule is proposed to reveal guests ' comments about hosts using the recommendation system and sentiment analysis for the super hosts' selection for Airbnb. This project is aimed to contribute to ...
The effect of Bert-based grammatical analysis on Google search results
(MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)
This study aims to study the BERT, namely Bidirectional Encoder Representations from Transformers model, which is introduced by Google and is of great importance in content analysis, and to examine the role of grammatical ...