Ozkan CanaySakarya University of Applied Sciences · Computer Engineering
Ozkan Canay
Doctor of Philosophy
Currently, I am focusing on new work in data science and machine learning.
About
16
Publications
2,945
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Citations
Introduction
Ozkan Canay works at the Sakarya University of Applied Sciences, Vocational School of Sakarya. Ozkan does research in Artificial Intelligence, Data Mining, and Software Engineering.
Skills and Expertise
Publications
Publications (16)
The underlying data source for web usage mining (WUM) is commonly thought to be server logs. However, access log files ensure quite limited data about the clients. Identifying sessions from this messy data takes considerable effort, and operations performed for this purpose do not always yield excellent results. Also, this data cannot be used for w...
In web analytics, cloud-based solutions have limitations in data ownership and privacy, whereas client-side user tracking tools face challenges such as data accuracy and a lack of server-side metrics. This paper presents CAWAL (Combined Analytics and Web Application Log) as an alternative model and an on-premises framework, offering web analytics w...
All over the world, countries need to protect their internal security against external aggression. For this purpose, states have intelligence agencies in addition to military units to protect against internal and external enemies. Although intelligence organizations generally serve the same purpose in every state, they may differ in structure and s...
The development and transformation of information systems has led to the realization of almost all business activities in the electronic environment today. Internal audit departments also benefit from this digital transformation in companies. Thanks to the advantage of the use of information technologies in business processes by the relevant units...
The COVID-19 pandemic has rapidly pushed universities worldwide towards digital transformation and led to the rapid development of distance learning systems. This article examines the impact of the pandemic on universities in Turkey and delves into their digital transformation processes. Due to the limitations of face-to-face education during the p...
Dağıtık
dosya paylaşım protokollerinden BitTorrent, merkezi olmayan internet
felsefesinin ilk örneklerinden olarak kabul edilmekte ve bu bağlamda önemli
araştırma alanları arasında yer almaktadır. BitTorrent’te iletim katmanı
protokolü olarak başlangıçta TCP kullanılmış, gecikme ve bant genişliğinin
aşırı tüketilmesi problemlerinden dolayı uTP prot...
During the recent years, due to the development of information and communication technologies, users are faced with software products with different structures, functions and designs in terms of many services provided by the internet environment. Accordingly, user expectations are constantly changing and developing applications with only technicall...
The coordination of the power system management with the phasor measurement devices (PMUs) in real time on the load side and the production side is carried out within the context of smartgrid studies. Smartgrid evolves power systems into equipped with information systems at the same time opens grid to external threats. The fact that the network is...
Within it is getting more important to publish articles on the journals that are scanned by the scientific indexes; also it is getting much more critical to make a decision on sending the applicant article to the suitable journal. But lacking of a practical tool on filtering the search on the journals makes it harder for the Turkish scientists. In...
With the widespread use of the Internet and the proliferation of services offered over the Internet, the use of the web is increasing day by day. In addition, as a result of computerization and smart phone usage in recent years, young people who have been educated, and middle-aged and older people who use computers at work places frequently use the...
Maple is used to do numerical computation, plot graphs and do exact symbolic manipulations and word processing. In this study we demonstrate how Maple can be used for the simulation of a planar robot. This offers the possibility to become familiar of mathematical modelling. The mechanism under consideration is a so-called F-mechanisms (Can & Stache...
In this study, the single-machine total weighted tardiness scheduling problem with double due date has been addressed. The neuro-dominance rule (NDR-D) is proposed to decrease the total weighted tardiness (TWT) for the double due date. To obtain NDR-D, a back-propagation artificial neural network was trained using 12,000 data items and tested using...
Canay, Ö., Durdu, A., Varan, M., Şanslı, A. (2012) "Bologna Süreci Çerçevesinde Hazırlanan Eğitim Öğretim Bilgi Sisteminde Ders Bilgileri Modülü Tasarımı", 3rd International Conference on New Horizons in Education (INTE 2012) , (Haziran 2012)
The core aim of Agent Based University Planning project of Sakarya University is designing and
implementation of a system that is based on Distributed Artificial Intelligence technique for scheduling and
planning to face the problems that often takes place in a university administration division. This report
particularly focuses on course planni...
Evaluation process is done after measuring results are gathered in relative evaluation system and a criteria is determined. Grades taken from exam, homework, lab, application and such like by students are transmitted pre-operation in order to derive success grade. This grade is called unconditional grade. When this point is acquired, firstly every...
Questions
Question (1)
I decided on the attributes of users and web services. Users attributes are sex, age group, user type (staff, student, alumni, visitors), etc. Web services (modules like mail service, phone guide service, meal menu service, etc.) attributes (characteristics) are usage time, pages per service, etc. And also services attributes can be evaluation with users (used that service) attributes. Such as services sex, services age group, services user type, etc.
Here my questions starting:
a) I can not be sure, what is the name of this operation (estimation, prediction, forecasting)?
b) Which statistical method should be chosen to verify the suitability of features that would be appropriate?
c) How can I estimate effects on quantitative values such as number of users in the portal, number of page navigation, and session durations when a new service added to the portal.
d) Which method should I use? Association mining, classification, collaborative filtering,...?
