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.
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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.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch. Bestandsnummer des Verkäufers 9786202197922
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9786202197922
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wajeed Dr.Mohammed AbdulDr. 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 Un. Bestandsnummer des Verkäufers 385934079
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Bestandsnummer des Verkäufers 9786202197922
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Taschenbuch. Zustand: Neu. Assessing Learning Paradigms in Text Classification Using ML | Mohammed Abdul Wajeed | Taschenbuch | 104 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202197922 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 111228615
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