Data mining classification algorithms par patil bhushan (5 résultats)
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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Taschenbuch. Etat : Neu. Data Mining Classification Algorithms For Kidney Disease Prediction | Data Mining | Bhushan V. Patil (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203863093 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]p…reigu[dot]de | Anbieter: preigu.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predomina…ntly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data. 60 pp. Englisch.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil Bhushan V.Prof. Bhushan V. Patil working as an Assistant Professor in Electronics and Telecommunication department at R. C.Patel Institute of Technology, Shirpur.Data mining is a vital role in several… applications such as b.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly… used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly…used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.
