Now showing items 1-8 of 8

  • Applying machine learning algorithms in sales prediction 

    Authors:Sekban, Judi
    Publisher and Date:(Kadir Has University, 2019)
    Makine öğrenimi bir çok endüstride üzerinde yoğun çalışmalar yapılan bir konu olmuştur, ve neyse ki şirketler kendi problemlerini çözebilecek çeşitli machine learning yaklaşımları hakkında günden güne daha fazla bilgi sahibi oluyorlar. Fakat, farklı makine öğreniminin modellerinden en iyi şekilde sonuç almak ve verimli sonuçlara ulaşabilmek için, modellerin uygulanış biçimlerini ve verinin doğasını iyi anlamak gerekir. Bu tez, belli bir tahmin görevi için, uygulanan ...

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

    Authors:Dahman, Mohammed R.M.
    Publisher and Date:(Kadir Has University, 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 ...

  • Power Consumption Estimation Using In-Memory Database Computation 

    Authors:Daǧ, Hasan; Alamin, Mohamed Abdullah Al
    Publisher and Date:(IEEE, 2016)
    In order to efficiently predict electricity consumption we need to improve both the speed and the reliability of computational environment. Concerning the speed we use inmemory database which is taught to be the best solution that allows manipulating data many times faster than the hard disk. For reliability we use machine learning algorithms. Since the model performance and accuracy may vary depending on data each time we test many algorithms and select the best one. In this study we use SmartMeter ...

  • Power Consumption Estimation Using In-Memory Database Computation 

    In order to efficiently predict electricity consumption we need to improve both the speed and the reliability of computational environment. Concerning the speed we use in-memory database which is taught to be the best solution that allows manipulating data many times faster than the hard disk. © 2016 IEEE.

  • Recommendation of data visualization tools for non-technical people 

    Authors:Omran, Ahmet
    Publisher and Date:(Kadir Has University, 2019)
    Big data analysis and data science are promising trends. Visualization is critical part. It outlines and presents data as information from different perspectives. Consequently, leaders, decision makers, and end users will grasp concepts and identify patterns with new dimensions. However, while time is still a complex dimension, the number of Information Visualization (InfoVis) software tools are increasing rapidly. This research test out how non-technical people select their InfoVis tools. Generally, ...

  • Towards a dynamic system in credit scoring 

    Authors:Şahal, Süleyman
    Publisher and Date:(Kadir Has University, 2018)
    In this study, it is aimed to construct a fully automated, comprehensive, and dynamic system which gives the ability to a credit analyst to make credit decisions without any human interaction, solely based on the data set. With this system, it is hoped not to miss any valuable data transformation step and it is assumed that each built in model in RapidMiner is a possible candidate to be the best predictor. To this end, a model comparison engine has been designed in RapidMiner. This engine conducts ...

  • Use of machine learning techniques for diagnosis of thyroid glang disorder 

    Authors:Mofek, İzdihar A.B. El
    Publisher and Date:(Kadir Has University, 2016)
    The advancements of computer technologies have generated an incredible amount of data and information from numerous sources. Nowadays, the way of implementing health care are being changing by utilizing the benefits of advancements in computer technologies. It is believed that engineering this amount of data can assist in developing predictive tool that can help physicians to diagnosing and predicting some debilitating life-threatening illness such as thyroid gland disease. Our current work focuses ...

  • Vehicle classification using magnetic sensor data 

    Authors:Uçar, Mustafa Said
    Publisher and Date:(Kadir Has University, 2019)
    Advancements in computational power allow us to create more complex systems to solve various complicated problems. Considering numerical sensor values, computers are able to process more and more data compared to humans. Computer-based systems provide useful statistics, and predictions for problems and helps us to solve our problems in daily life. Automated vehicle classification plays an important role in City Environmental Planning and will play an even more important role when the ...