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Acta Infologica
ISSN 2602-3563 · Istanbul University Press · 83 artikel di indeks
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Artikel Jurnal
Evaluation of the Quality of Second-Hand Clothes Trading Websites using the VIKOR and MOORA Methods
Along with technology, people’s living standards have also improved in the same direction. Long-distance shopping trips are no longer preferred by people. Many consumers now find it more appealing to shop while sitting at home and avoiding the crowds while also finding what they are looking for…
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Redesigning Municipality Logos in the Context of Visual Reading Using Artificial Intelligence
The intensive use of technology in the way of business brings about different applications and usage areas. Artificial intelligence, on the other hand, reveals the last point that technology has reached and expands its usage area daily. Every example of artificial intelligence, which we can define…
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Turkish Lira Banknote Classification using Transfer Learning and Deep Learning
With the increasing exchange of foreign currencies due to globalization, there is a need for systems that can recognize and validate multiple currencies in real time. Such systems facilitate smooth international transactions and support the finance sector in dealing with diverse currencies. This…
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Comparative Analysis of Transaction Performance in Different Virtualization Environments
Virtualization technologies are increasing in importance day by day. The selection of virtualization software is an important factor to realize efficient use of physical hardware. In this study, the Ubuntu 22.04 LTS operating system was run on Virtu alBox, VMware, and Docker, which are widely used…
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A New Approach to Grouping Learners Based on Behavioral Engagement in CSCL Environments
In Computer-Supported Collaborative Learning (CSCL) environments, forming a group is essential for the success of the learning process. Furthermore, several studies on forming groups in CSCL environments have been conducted recently to form ones that promote learners’ engagement and collaboration…
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A New Kibria-Lukman-Type Estimator for Poisson Regression Models
One of the most important models for the analysis of count data is the Poisson Regression Model (PRM). The parameter estimates of the PRM are obtained by the Maximum Likelihood Estimator (MLE). However, MLE is adversely affected in the presence of multicollinearity, which is known as the…
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A Qualitative Study on Job Satisfaction of Public Information Workers
Organizations worldwide, in both the private and public sectors, depend on their workforce to achieve optimal productivity, resulting in enhanced organizational effectiveness. Therefore, ensuring employee job satisfaction is a necessity for every organization. This study investigates the job…
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A Machine Learning Approach for Quantifying Academic Misconduct
Evidence from the literature continues to reveal the problem of academic misconduct, particularly cheating, among university students. To deal with this problem effec tively, a clear understanding of its magnitude is necessary for planning and resource allocation. This paper proposes a machine…
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Detection and Prevention of Medical Fraud using Machine Learning
Presently, there is an upward trend in the mean life expectancy of individuals due to reductions in maternal and infant mortality, as well as deaths caused by noncommunicable diseases like cardiovascular disease. A decline in life expectancy results in a corresponding increase in health…
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International Standards for Digital Twins
Interest in digital twins has grown significantly due to the maturation of enabling technologies, including cloud computing, 5G, data storage, computing capabilities, the Internet of Things (IoT), Artificial Intelligence (AI), and machine learning. As these technologies have reached a sufficient…
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House Value Estimation using Different Regression Machine Learning Techniques
This study investigates the effectiveness of various regression algorithms in estimating house values using a dataset sourced from Zillow.com, encompassing 15,000 residential properties from Denver, Colorado. Comparisons of different models such as linear regression, Ridge regression, Lasso…
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A Qualitative Study on Management Information Systems Faculty Members’ Perceptions of Accreditation in Türkiye
In recent years, the accreditation of universities and programs has gained special importance worldwide and in our country, and higher education institutions have set various accreditation targets. Accreditation, which documents the compliance and quality of an institution or program with specific…
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Advanced Phishing Detection: Leveraging t-SNE Feature Extraction and Machine Learning on a Comprehensive URL Dataset
Phishing attacks continue to pose a major challenge in today’s digital world; thus, sophisticated detection techniques are required to address constantly changing tactics. In this paper, we have proposed an innovative method to identify phishing attempts using the extensive PhiUSIIL dataset. The…
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Determining Online Travel Planning with AHP and TOPSIS Methods
Online shopping has become increasingly popular in recent years. Online shopping transactions, which are frequently carried out by consumers all over the world, are also very common in the tourism sector. Users avail themselves of a variety of alternative platforms such as websites, social media or…
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A Modular Efficiency Determination Formula for Information Retrieval Evaluations and Optimizations
The notion of efficiency has typically been associated with the efficiency of systems rather than users in Information Retrieval (IR) literature. In the usability literature, on the other hand, this notion is defined from a user-based perspective, corresponding to how long a user accomplishes a…
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Social Media Sentiment Analysis for Solar Eclipse with Text Mining
This study investigated public sentiment and emotional reactions to the Partial Solar Eclipse that occurred on October 25, 2022, by analyzing Twitter data. By leveraging text mining techniques and sentiment analysis, the research aims to understand individuals’ diverse emotions and perspectives in…
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Analysis of City Demographics in Turkiye Using Data Mining Techniques
In this study, a data mining model has been developed and used to analyze how cities and regions in Turkey can be grouped, aiming to find similarities and differences between them. For this purpose, data is obtained from Turkish Statistical Institution (TUIK) and fuzzy c-means clustering algorithm…
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Malware Detection in Forensic Memory Dumps: The Use of Deep Meta-Learning Models
The present study aimed to design a high-performance deep meta-learning model that could be utilized in classification predictions using forensic memory datasets and propose a framework that would ensure the generalization and consistency of the predictions with the help of this model. To achieve…
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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce
The accuracy of sales forecasting is crucial for e-commerce businesses to optimize inventory management, pricing decisions, marketing strategies and staff scheduling. At this point, different approaches such as statistical models, fuzzy systems, machine learning and deep learning algorithms are…
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User Experience Analysis of an Original Website Designed with Simplicity from the Perspective of Technology Acceptance Model
This study aims to analyze the user experience (UX) of a plainly designed website on a comprehensive subject, to determine its effect and efficiency on a target group and to find out if it is a “must” to form a detailed design for such a mission. The analysis is conducted on an original website on…