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Assessing Learning Paradigms in Text Classification Using ML - Couverture souple

Wajeed, Dr.Mohammed Abdul

 
9786202197922: Assessing Learning Paradigms in Text Classification Using ML
Couverture souple
ISBN 10 : 6202197927 ISBN 13 : 9786202197922
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Text categorization has become the core research area in text mining domain. Semi-supervised learning paradigm is relatively new learning paradigm compared to supervised and unsupervised learning, semi-supervised learning paradigm is introduced. The topics in the book are introduced such that a novice reader can grasp them easily. The simple to implement, traditional K-Nearest Neighbour learning algorithm is employed in the process of categorization. Terms importance with respect to each class label are identified and are used to improve the performance of the traditional KNN algorithm.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Text categorization has become the core research area in text mining domain. Semi-supervised learning paradigm is relatively new learning paradigm compared to supervised and unsupervised learning, semi-supervised learning paradigm is introduced. The topics in the book are introduced such that a novice reader can grasp them easily. The simple to implement, traditional K-Nearest Neighbour learning algorithm is employed in the process of categorization. Terms importance with respect to each class label are identified and are used to improve the performance of the traditional KNN algorithm.

Biographie de l'auteur

Dr. Mohammed Abdul Wajeed currently works for Keshav Memorial Institute of Technology, Hyderabad in Computer Science & Engineering Department. He completed M.Tech Computer Science & Engineering from Osmania University in 2007, and PHD in Computer Science & Engineering from Jawahar Lal Nehru Technological University in 2015.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6202197927
ISBN 13 
9786202197922
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
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