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Assessing Learning Paradigms in Text Classification Using ML - Mohammed Abdul Wajeed

englanti
2018-01-03
53,86 € 71,81 €

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Toimitus 12-18 arkipäivässä

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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 i ... Täydellinen kuvaus

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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.

Lisätietoja

Kirjoittaja Mohammed Abdul Wajeed
Julkaisija LAP LAMBERT Academic Publishing
Julkaisuvuosi 2018
Kannen tyyppi Pehmeäkantinen
EAN 9786202197922
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Arvostelet: Assessing Learning Paradigms in Text Classification Using ML
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53,86 € 71,81 €