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The Data mining technique can be used in collaboration With a K-NN classifiers, Naļve 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, Naļve 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
Published by
LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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, Naļve 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, Naļve 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. Seller Inventory # 9786202672399
Quantity: 2 available
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Data mining technique can be used in collaboration With a K-NN classifiers, Naļve 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, Naļve 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. Seller Inventory # 9786202672399
Quantity: 1 available
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: 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. Seller Inventory # 494630694
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ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS
Published by
LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202672390
ISBN 13: 9786202672399
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The Data mining technique can be used in collaboration With a K-NN classifiers, Naļve 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, Naļve 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9786202672399
Quantity: 2 available