Çamalan, Özge

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7178
Name Variants
Ç., Özge
Camalan, Ozge
C., Ozge
Ö.,Çamalan
Özge, Çamalan
C.,Ozge
Ozge, Camalan
Camalan,O.
Çamalan, Özge
O.,Camalan
Ç.,Özge
Çamalan,Ö.
O., Camalan
Ö., Çamalan
Job Title
Araştırma Görevlisi
Email Address
ozge.camalan@atilim.edu.tr
Main Affiliation
Economics
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
1
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
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Scholarly Output

6

Articles

5

Views / Downloads

21/0

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

6

Scopus Citation Count

8

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.33

Open Access Source

5

Supervised Theses

1

JournalCount
Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (Online)1
Computational Economics1
İşletme Araştırmaları Dergisi1
Sustainability1
World Journal of Applied Economics1
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Author: Çamalan, ÖzgeSubject: Bilgisayar Bilimleri, Yazılım Mühendisliği

Scholarly Output Search Results

Now showing 1 - 1 of 1
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    Article
    Using Advanced Machine Learning Techniques To Predict the Sales Volume of Non-Fungible Tokens
    (2024) Çamalan, Özge; Gökmen, Şahika; Atan, Sibel
    Non-fungible tokens (NFTs) are a type of digital asset based on blockchain that contain unique codes verifying the authenticity and ownership of different assets such as art pieces, music, gaming items, collections, and so on. This phenomenon and its markets have grown significantly since the beginning of 2021. This study, using daily data between November 2017 and November 2022, predicts the volume of NFT sales by utilising Random Forest (RF), GBM, XGBoost, and LightGBM methods from the community machine learning methods. In the predictions, several financial variables, including Gold, Bitcoin/USD, Ethereum/USD, S&P 500 index, Nasdaq 100, Oil/USD, Euro/USD, and CDS data, are treated as independent variables. According to the results, XGBoost is found to be the best prediction method for NFT market volume estimation concerning several statistical criteria, e.g., MAE, MAPE, and RMSE, and the most significant influential feature in determining prices is the Ethereum/USD exchange rate.