CLASSIFICATION OF PHYSIOLOGICAL DISEASES USING EEG SIGNALS AND MACHINE LEARNING TECHNIQUES

2016 ◽  
Vol 05 (08) ◽  
pp. 346-351
Author(s):  
Rashmi Sahu .
2019 ◽  
Vol 125 ◽  
pp. 140-149 ◽  
Author(s):  
Jardel das C. Rodrigues ◽  
Pedro P. Rebouças Filho ◽  
Eugenio Peixoto ◽  
Arun Kumar N ◽  
Victor Hugo C. de Albuquerque

Author(s):  
Padmavathi .S ◽  
M. Chidambaram

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.


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