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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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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202197927
ISBN 13: 9786202197922
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786202197922
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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202197927
ISBN 13: 9786202197922
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Taschenbuch. Condizione: 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. Codice articolo 9786202197922
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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing, 2018
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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing, 2018
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ISBN 13: 9786202197922
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Condizione: 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. Codice articolo 385934079
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Assessing Learning Paradigms in Text Classification Using ML
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Assessing Learning Paradigms in Text Classification Using ML
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ISBN 13: 9786202197922
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Condizione: New. PRINT ON DEMAND. Codice articolo 18405916887
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Assessing Learning Paradigms in Text Classification Using ML
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ISBN 13: 9786202197922
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Paperback. Condizione: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock. Codice articolo zk6202197927
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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing Jan 2018, 2018
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ISBN 13: 9786202197922
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Taschenbuch. Condizione: 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. Codice articolo 9786202197922
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Assessing Learning Paradigms in Text Classification Using ML
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LAP LAMBERT Academic Publishing, 2018
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ISBN 13: 9786202197922
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Taschenbuch. Condizione: 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. Codice articolo 111228615
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