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| Issue |
Title |
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| Vol 5, No 4 (2017) |
Sleep Stage Classification via Ensemble and Conventional Machine Learning Methods using Single Channel EEG Signals |
Abstract
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Hamza Osman Ilhan, Gokhan Bilgin |
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| Vol 5, No 3 (2017) |
Fraud Detection on Financial Statements Using Data Mining Techniques |
Abstract
PDF
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Murat Cihan Sorkun, Taner Toraman |
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| Vol 6, No 3 (2018) |
An Empirical Study of the Extreme Learning Machine for Twitter Sentiment Analysis |
Abstract
PDF
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Onder Coban, Buse Melis Ozyildirim, Selma Ayse Ozel |
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| Vol 6, No 2 (2018) |
A Two Stage Hybrid Ensemble Classifier Based Diagnostic Tool for Chronic Kidney Disease Diagnosis Using Optimally Selected Reduced Feature Set |
Abstract
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Sahil Sharma |
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| Vol 6, No 1 (2018) |
Feature Selection using FFS and PCA in Biomedical Data Classification with AdaBoost-SVM |
Abstract
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Rahime Ceylan, Mucahid Barstugan |
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| Vol 5, No 4 (2017) |
A Review on Business Intelligence and Big Data |
Abstract
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Erkan Sirin, Hacer Karacan |
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| Vol 5, No 1 (2017) |
Classification of Neurodegenerative Diseases using Machine Learning Methods |
Abstract
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Fatih Aydin, Zafer Aslan |
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| Vol 6, No 2 (2018) |
Proposal of Machine Learning Approach for Identification of Instant Messaging Applications in Raw Network Traffic |
Abstract
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Abdurrahman Pektaş |
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| Vol 6, No 1 (2018) |
Predicting the Severity of Motor Vehicle Accident Injuries in Adana-Turkey Using Machine Learning Methods and Detailed Meteorological Data |
Abstract
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Cigdem ACI, Cevher OZDEN |
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| Vol 4, No 1 (2016) |
Banknote Classification Using Artificial Neural Network Approach |
Abstract
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Esra Kaya, Ali Yasar, Ismail Saritas |
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| Vol 4, No 1 (2016) |
Classification of Wheat Types by Artificial Neural Network |
Abstract
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Ali Yasar, Esra Kaya, Ismail Saritas |
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| Vol 3, No 2 (2015) |
Comparison among Feature Encoding Techniques for HIV-1 Protease Cleavage Specificity |
Abstract
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Uğur Turhal, Murat Gök, Aykut Durgut |
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