Yılmaz, Meriç

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Profile URL
https://hdl.handle.net/20.500.14411/6689
Name Variants
M., Yilmaz
Yilmaz M.
Yilmaz,M.
Y.,Meric
Selamoglu M.
Meric, Yilmaz
Yilmaz, Meric
Y., Meriç
M., Yılmaz
Meriç Yılmaz
Apaydin M.
Meriç, Yılmaz
Yilmaz,Meric
Y.,Meriç
Yılmaz, Meriç
M.,Yilmaz
Yılmaz,M.
M.,Yılmaz
Y., Meric
Job Title
Doçent Doktor
Email Address
meric.yilmaz@atilim.edu.tr
Main Affiliation
Civil Engineering
Status
Website
ORCID ID
0000-0001-6921-7687
Scopus Author ID
57214083722
Turkish CoHE Profile ID
99A550748996DD77
Google Scholar ID
3p-1_IIAAAAJ
WoS Researcher ID
G-5145-2017

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
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
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
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
Documents

9

Citations

250

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6

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Documents

9

Citations

208

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Scholarly Output

10

Articles

5

Views / Downloads

70/3236

Supervised MSc Theses

3

Supervised PhD Theses

0

WoS Citation Count

149

Scopus Citation Count

198

Patents

0

Projects

0

WoS Citations per Publication

14.90

Scopus Citations per Publication

19.80

Open Access Source

3

Supervised Theses

3

JournalCount
Communications in Computer and Information Science -- 29th European Systems, Software and Services Process Improvement, EuroSPI 2022 -- 31 August 2022 through 2 September 2022 -- Salzburg -- 2824491
Doğal Afetler ve Çevre Dergisi1
Environmental Science and Pollution Research1
Journal of Applied Water Engineering and Research1
Journal of the Croatian Association of Civil Engineers1
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    Forecasting Direction of Bist 100 Index: an Integrated Machine Learning Approach
    (Springer Science and Business Media B.V., 2021) Ünlü,K.D.; Potas,N.; Yılmaz,M.
    In recent years trends in analyzing and forecasting financial time series moves from classical Box-Jenkins methodology to machine learning algorithms because of the non-linearity and non-stationary of the time series. In this study, we employed a machine learning algorithm called support vector machine to predict the daily price direction of BIST 100 index. In addition, we use random forest algorithm for feature selection and showed that by removing some features from the model, performance of the model increases. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.