Yazar "Koklu, Nigmet" seçeneğine göre listele

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    Comparison of Classification Techniques on Energy Efficiency Dataset
    (2017) Toprak, Ahmet; Koklu, Nigmet; Toprak, Aysegul; Ozcan, Recai
    The definition of the data mining can be told as to extract information or knowledge from large volumes of data. Statistical and machine learning techniques are used for the determination of the models to be used for data mining predictions. Today, data mining is used in many different areas such as science and engineering, health, commerce, shopping, banking and finance, education and internet. This study make use of WEKA (Waikato Environment for Knowledge Analysis) to compare the different classification techniques on energy efficiency datasets. In this study 10 different Data Mining methods namely Bagging, Decorate, Rotation Forest, J48, NNge, K-Star, Naïve Bayes, Dagging, Bayes Net and JRip classification methods were applied on energy efficiency dataset that were taken from UCI Machine Learning Repository. When comparing the performances of algorithms it’s been found that Rotation Forest has highest accuracy whereas Dagging had the worst accuracy
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    Designing Mobile Applications for Teaching Manufacturing Technologies Course
    (BUCHAREST UNIVERSITY PRESS, 2015) Koklu, Nigmet; Andreescu, Nicoleta A.; Yaldiz, Suleyman
    Rapid developments in technology supply the equipment that can be used in teaching learning environments and they can provide diversification about it. These new technologies facilitate learning by improving the quality of learning and this increasing students' performance. Benefiting from the technological tools in education has also triggered productivity in education and training during many educational activities. Rapidly advancing technology in recent years has demonstrated its impact on the mobile applications field as well. Mobile devices have entered into every area of daily life. Nowadays, the most common system used in mobile devices is the android operating system. Despite having hundreds of thousands applications in the Android operating system, the number of applications that will be used in education and teaching is not so much as expected. However, day by day, the number of applications that can be used in education is expected to increase. A mobile application in android operating system that is designed to be used in education has been developed. This application has been prepared in order to be used in manufacturing courses which is taught in machinery engineering department. In this practice course on manufacturing technology, course documents have been gathered under one roof in Android app. Thereby, it has been simplified for the manufacturing technology students to have access to information and documents related to the lesson.