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Toplam kayıt 6, listelenen: 1-6
An improved global feature selection scheme for text classification
(Pergamon-Elsevier Science LTD, 2016)
Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature ...
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)
High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ...
The impact of preprocessing on text classification
(Elsevier Sci LTD, 2014)
Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification ...
Hybrid feature selection for text classification
(Tubitak Scientific & Technical Research Council Turkey, 2012)
Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ...
Automated categorization scheme for digital libraries in distance learning: A pattern recognition approach
(2008)
Digital libraries play a crucial role in distance learning. Nowadays, they are one of the fundamental information sources for the students enrolled in this learning system. These libraries contain huge amount of instructional ...
Subspace based feature selection for pattern recognition
(Elsevier Science Inc, 2008)
Feature selection is an essential topic in the field of pattern recognition. The feature selection strategy has a direct influence on the accuracy and processing time of pattern recognition applications. Features can be ...