Küçükaydın, Hande

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Profile URL
https://hdl.handle.net/20.500.11779/2665
Name Variants
Küçükaydın, H.
Hande Küçükaydın
Küçükaydın, Hande
Job Title
Email Address
kucukaydinh@mef.edu.tr
Main Affiliation
02.01. Department of Industrial Engineering
Status
Current Staff
Website
ORCID ID
0000-0003-2527-2064
Scopus Author ID
36655949100
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
DXX-7824-2022
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Hande Küçükaydın.jpg (72.44 KB)

Sustainable Development Goals

2

ZERO HUNGER
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0

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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1

NO POVERTY
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11

SUSTAINABLE CITIES AND COMMUNITIES
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7

AFFORDABLE AND CLEAN ENERGY
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10

REDUCED INEQUALITIES
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3

GOOD HEALTH AND WELL-BEING
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1

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6

CLEAN WATER AND SANITATION
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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5

GENDER EQUALITY
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14

LIFE BELOW WATER
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13

CLIMATE ACTION
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15

LIFE ON LAND
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8

DECENT WORK AND ECONOMIC GROWTH
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17

PARTNERSHIPS FOR THE GOALS
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4

QUALITY EDUCATION
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Documents

7

Citations

56

h-index

5

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Documents

11

Citations

200

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Scholarly Output

21

Articles

5

Views / Downloads

4423/22891

Supervised MSc Theses

12

Supervised PhD Theses

0

WoS Citation Count

43

Scopus Citation Count

45

WoS h-index

4

Scopus h-index

4

Patents

0

Projects

3

WoS Citations per Publication

2.05

Scopus Citations per Publication

2.14

Open Access Source

17

Supervised Theses

12

JournalCount
2015 World Conference on Technology, Innovation and Entrepreneurship1
29th Meeting of Belgian Operational Research Society,Louvain-La-Neuve1
Computers & Industrial Engineering1
Euro1
Journal of the Faculty of Engineering and Architecture of Gazi University1
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Now showing 1 - 10 of 21
  • Thumbnail Image
    Master Thesis
    Fastseller&worstseller Project (boston Matrix Text Classification Analysis)
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Tunçel, Ahmet; Küçükaydın, Hande
    …
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    Master Thesis
    Suicide Tendency Classification and Suicide Number Prediction Forpopulation Subgroups
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019) Ak, Mehmet; Küçükaydın, Hande
    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. This study consists of five machine learning models for suicide tendency classification and three machine learning models for prediction of suicide numbers by population subgroups. The dataset provided by World Health Organization is used in the project. Obtained models classify population subgroups as suicide-prone or less suicide prone with 86% accuracy and explain 90 % of the variance in the suicide number per 100,000 population of specific countries.
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    Conference Object
    Column Generation Based Algorithms for a Vrp With Time Windows & Variable Departure Times
    (2016) Michelini, S; Arda, Y; Küçükaydın, Hande
    ...
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    Article
    Citation - WoS: 6
    Citation - Scopus: 5
    Optimal Keyword Bidding in Search-Based Advertising With Budget Constraint and Stochastic Ad Position
    (Taylor & Francis, 2019) Özlük, Özgür; Selçuk, Barış; Küçükaydın, Hande
    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 expected potential revenue given a total budget constraint from a search-based advertising campaign. Optimal bid prices are formulated by considering various characteristics of the keywords such that the expected revenue from a keyword is a function of the ad’s position on the search page, and the ad position is a stochastic function of both the bid price and the competitive landscape for that keyword. We explore this problem analytically and numerically in an effort to generate important managerial insights for campaign setters.
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    Conference Object
    Combining Acceleration Techniques for Pricing in a Vrp With Time Windows
    (2016) Michelini, S; Arda, Y; Küçükaydın, Hande
    ...
  • Thumbnail Image
    Master Thesis
    Forecasting With Ensemble Methods: an Application Using Fashion Retail Sales Data
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019) Yüzbaşıoğlu, Orkun Berk; Küçükaydın, Hande
    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 bagging tree regressor, random forest regressor, and gradient boosting regressor algorithm. Algorithms are trained and evaluated with real past sales data of a Turkish fashion retailer. The predictive performance of the models is compared with linear regression. The results of the study show that random forest regressor shows the best performance
  • Thumbnail Image
    Master Thesis
    Association Rule Mining on Ticket Sales Data
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Genç, Özge; Küçükaydın, Hande
    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 is a well-known data mining method that is used to discover similarities between products or product groups. For market basket analysis, the apriori algorithm is applied which is considered as a popular data mining algorithm and helps to discover frequent item sets and forms association rules within the dataset. In this project, the apriori algorithm is applied using Python to discover the association rule: between the venues (implementation 1), between the venues excluding the venues used for a specific festival type (implementation 2), between festivals and event groups if any (implementation 3). According to the results of implementation 1, the associations are mostly between the venues of a specific festival type. According to the implementation 2, when we exclude this specific festival type from the dataset, it is seen the rules are mostly between the venues of another festival type. In implementation 3, when the festival venues variable is excluded and only the event names are considered, it is seen that the support, lift and confidence values are lower than the previous implementations.
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    Master Thesis
    Hotel Recommendation for Online Travel Agencis
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017) Kılıçlı, Cem; Küçükaydın, Hande
    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 their profit.
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    Conference Object
    Improved Business Model Representation of Innovation Concepts
    (World Conference on Technology, Innovation and Entrepreneurship, 2015) Dorantes-Gonzalez, Dante Jorge; Küçükaydın, Hande; Özlem, Şirin; Bulgan, Gökçe; Aydın, Utkun; Son Turan, Semen; Karamollaoğlu, Nazlı; Teixeira, Frederico Fialho
    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 for most entrepreneurs and other practitioners. It often times happens that newly coined terminology becomes misleading or may even include a certain degree of sensationalism, hence turning into a matter of debate for specialists in the realm of technology management. Such has been the case for the term “Open Innovation”, since the word “open” is mainly related to crowd sourced innovation, but not for the openness on intellectual property rights. Since innovation is about the commercialization of original ideas, so we propose a simple and visual business model setting to resolve these concepts. To this regard, the “Business Model Canvas” has been used in business and entrepreneurship to sketch and frame the key points behind the development of a startup. This model was suggested by Alexander Osterwalder (2008) in his work on Business Model Ontology, as a strategic analysis template for developing startups or documenting existing businesses. It describes the firm’s value proposition, partners, resources, activities, customer relationships, distribution channels, customers, revenue streams and cost structure. However, when it comes to innovative startups, this template does not explicitly include such significant innovation components as intellectual property, its alignment to strategies, and intellectual property flow. The present paper proposes the use of an improved version of the Business Model Canvas to originally represent different models of innovation like Open Innovation, thus providing a clear, visual and quick representation of their meaning, and consequently, contribute to a better understanding of different concepts of innovation.
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    Master Thesis
    Churn Prediction of a Deal E-Commerce Website Customers
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017) Çevik, Müge; Küçükaydın, Hande
    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 continue because of price or interest or quality not because of subscription. It is normal to have some customers who stop buying, which is defined by "churn". Data mining is now a new technique to define "churned" customers and to have prediction who will churn and what should be against. In this project customers are clustered via unsupervised clustering technique for clusters as "newly purchased", "frequently purchased" and "mostly payed" and "churned". Random Forest Classifier is used to prove that the "churned" customer clusters have homogeneous character and also it has been proved that the "churned" labelled customers have actually no deal order after the observed time period. To recommend what should be done to regain the churned customers to the site the deal order history of these customers have been explored and the deal categories from which they have bought have been found.