Diğer Yayınlar Koleksiyonu

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http://hdl.handle.net/20.500.14701/60601

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Browsing by Subject "WEKA"

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    Movie rating prediction with machine learning algorithms on IMDB data set
    (2018-05-11) Abidin, Didem; Bostancı, Caner; Site, Atakan; Abidin, Didem; Fakülteler > Mühendislik Ve Doğa Bilimleri Fakültesi > Bilgisayar Mühendisliği Bölümü
    Predicting movie success with machine learning algorithms has become a very popular research area. There are many algorithms which can be applied on a data set to make movie success prediction if the data set is prepared and represented properly. In this study, we explained how IMDB movie data was used for movie rating prediction. The data set extracted from IMDB was formatted and prepared for datamining algorithms. These algorithms were executed on WEKA application environment and the performances in movie ratings and confusion matrices were obtained. The seven machine learning algorithms used have performed well on the data set with varying performance ratings of 73.5% to 92.7%. Random Forest algorithm had the best performance of 92.7%. This is the highest score obtained among similar studies.
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    Effects of image filters on various image datasets
    (ICCTA, 2019-04-16) Abidin, Didem; Abidin, Didem; Fakülteler > Mühendislik Ve Doğa Bilimleri Fakültesi > Bilgisayar Mühendisliği Bölümü
    Image classification is a very common research area, on which researchers work with various classification techniques. The aim of this study is to apply different filters on four different datasets and evaluate their performances in image classification. The study was performed in WEKA environment with Random Forest algorithm and image filters are applied to the datasets one by one and as a combination. Filter combinations got better performance than applying single filter on data. Filter combinations got the worst result on artworks with a percentage of 83.42%. However they were very successful on classifying the images in natural images dataset with a performance of 99.76%.