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Sinopsis
The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors.
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Publicado por
LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors. 76 pp. Englisch. Nº de ref. del artículo: 9786202672399
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Publicado por
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors. Nº de ref. del artículo: 9786202672399
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Publicado por
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Y. DeepikaMs.Y.Deepika had completed her Under Graduation recently at Vignan s Institute of Information Technology, Visakhapatnam. Dr.N.Thirupathi Rao is currently associated with Vignan s Institute of Information Technology, Visakha. Nº de ref. del artículo: 494630694
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Publicado por
LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Nº de ref. del artículo: 9786202672399
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Publicado por
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS | Deepika Y. (u. a.) | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202672399 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 118764321
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