Now showing items 1-10 of 10

  • Comparison of Cost-Free Computational Tools for Teaching Physics 

    Authors:Er, Neslihan Fatma; Dağ, Hasan
    Publisher and Date:(IEEE, 2010)
    It is widely accepted that it is quite difficult to engage today's students, from high schools to university, both in educational activities in class and "teaching" them physics due to their prejudices about the complexity of physics. The difficulty in capturing students' attention in class for a long time also plays a role in less effective teaching during learning activities. Research shows that students learn little from traditional lectures. According to constructivist learning theories, visual ...

  • AN EFFECTIVE ROCOMMENDER MODEL FOR E-COMMERCE PLATFORMS 

    Authors:Işık, Muhittin; Dağ, Hasan
    Publisher and Date:(2017)
    Sahte kullanıcı hesapları, veri tabalarındaki seyreklik problemlerinden dolayı özellikle yeteri kadar kullanıcı tarafından puanlanmamış ürünlerde tavsiye algoritmalarını kolaylıkla etkileyebilmektedirler. Genellikle bu kullanıcı hesapları kendi ürününün puanını artırmak isteyen ürün sahipleri olabildiği gibi herhangi bir ürünü veya şirketi karalamak isteyen kötü niyetli kişiler de olabilmektedir. Bu durum birçok şirketin veri tabanı yoğunluğunun %1 den daha az olduğu düşünülürse e-ticaret ortamlarına ...

  • Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods 

    Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this paper, we propose a method, which combines feature extraction layers of a convolutional neural network with traditional machine learning algorithms, such as, support vector machine, gradient boosting machines, and random forest. All of the proposed hybrid models and the above mentioned ...

  • Feature selection and discretization for improving classification performance on CAC data set 

    Authors:Sayın, Kamran Emre
    Publisher and Date:(Kadir Has University, 2013)
    Data Mining usage in Health Sector increased much in this decade because of the need for efficient treatment. From cost-cutting in medical expenses to acting as a Decision Support System for patient diagnosis, Data Mining nowadays is a strong companion in Health Sector. The dataset used in this thesis belongs to Dr. Nurhan Seyahi. Dr. Nurhan Seyahi and his colleagues made a research about Coronary Artery Calcification in 178 patients having renal transplantation recently. They used conventional ...

  • Konutların Günlük Elektrik Güç Tüketimi Tahmini İçin Uygun Model Seçimi 

    Authors:Çayır, Aykut; Dağ, Hasan
    Publisher and Date:(Fırat Üniv. Fen Bilimleri Enst., 2018)
    Zamana bağlı değişim gösteren olayların modellenmesi zorlu bir veri analizi problemidir. Bu olaylardan biri olan elektrik güç tüketiminde ise veriden mevsimsel etki ve tatil günleri gibi örüntülerin öğrenilerek bir tüketim tahmin modelinin geliştirilebilmesi için klasik makine öğrenmesi ve derin öğrenme yöntemlerinden yararlanılmaktadır. Bu çalışmada, İngiltere’nin Londra şehrindeki belirli bir bölgede 30 farklı eve ait yaklaşık 3 yıllık elektrik güç tüketimi veri kümesi kullanılarak uygun bir ...

  • Machine learning model to predict an adult learner's decision to continue ESOL course 

    Authors:Dahman, Mohammed R.; Dağ, Hasan
    Publisher and Date:(Springer, 2019)
    This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, Turkey, participated in the study. The result showed that the continued or dropped out groups, demonstrated statistical differences in the demographic variable (the placement test score) with a magnitude of large effect size (.378). Additionally, the result showed the effect ...

  • .Net yazılım çerçevesi kullanılarak KOBİ'lere özel bütçe sisteminin geliştirilmesi 

    Authors:Cesur, Kazım
    Publisher and Date:(Kadir Has University, 2012)
    Bu tezin amacı piyasada çeşitli yollar ile yapılan bütçe uygulamalarına alternatif olarak modern bir yöntem ile kobilerin bütçe yapmalarına olanak sağlamaktır.Bu yöntem, .NET Framework yazılım çerçevesinde bulunan VB.NET programlama dili ve veri erişimi için ADO.NET objeleri kullanılarak geliştirilmiştir.Piyasada bulunan bütçe yapıları genelde özel kapsamda olup genel bir kitleye hitap etmemekte ve ihtiyacı karşılamamaktadır.Amacımız bu yazılım vasıtasıyla tüm kobilerin kullanabileceği bir bütçe, ...

  • The performance wise comparison of the most widely used noSQL databases 

    Authors:Aladily, Ahmed
    Publisher and Date:(Kadir Has University, 2015)
    This work deals with the comparison of the most widely used noSQL databases. Chapter one deals in great details with the SQL databases and the noSQL databases including characteristics and the four types of noSQL databases, the second Chapter deals with the characteristics of the SQL and noSQL databases and the main differences between SQL databases and the noSQL databases. The third chapter deals with the architecture of the Couchdb, Mongodb, Cassandra, and Hbase. Chapter four deals with installation ...

  • Random CapsNet forest model for imbalanced malware type classification task 

    Authors:Çayır, Aykut; Ünal, Uğur; Dağ, Hasan
    Publisher and Date:(Elsevier, 2021)
    Behavior of malware varies depending the malware types, which affects the strategies of the system protection software. Many malware classification models, empowered by machine and/or deep learning, achieve superior accuracies for predicting malware types. Machine learning-based models need to do heavy feature engineering work, which affects the performance of the models greatly. On the other hand, deep learning-based models require less effort in feature engineering when compared to that of the ...

  • Website category classification using fine-tuned BERT language model 

    The contents on the Word Wide Web is expanding every second providing web users a rich content. However, this situation may cause web users harm rather than good due to its harmful or misleading information. The harmful contents can contain text, audio, video, or image that can be about violence, adult contents, or any other harmful information. Especially young people may readily be affected with these harmful information psychologically. To prevent youth from these harmful contents, various web ...