Browsing by Author "Tutkan, Melike"
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Helmholtz principle based supervised and unsupervised feature selection methods for text mining
Tutkan, Melike; Ganiz, Murat Can; Akyokuş, Selim (Elsevier, 2016-09)One of the important problems in text classification is the high dimensionality of the feature space. Feature selection methods are used to reduce the dimensionality of the feature space by selecting the most valuable ... -
Metinsel veri madenciliği için anlamsal yarı-eğitimli algoritmaların geliştirilmesi
Ganiz, Murat Can; Altınel, Berna; Yaman, Utku; Çakırman, Erhan; Tutkan, Melike; Poyraz, Mitat; Kilimci, Zeynep Hilal; Tüysüzoğlu, Göksu; Engün, İsmail Murat (TÜBİTAK, 2015)Metinsel veri madenciliği büyük miktarlardaki metinsel verilerden faydalı bilgilerin çıkarılması veya bunların otomatik olarak organize edilmesini içerir. Büyük miktarlarda metinsel belgenin otomatik olarak organize ... -
A novel classifier based on meaning for text classification
Ganiz, Murat Can; Tutkan, Melike; Akyokuş, Selim (IEEE, 2015-09)Text classification is one of the key methods used in text mining. Generally, traditional classification algorithms from machine learning field are used in text classification. These algorithms are primarily designed for ...