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Performance Analysis of Data Mining Classification Techniques: Performance Analysis of Various Data Mining Classification Techniques on Healthcare Data - Brossura
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The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.
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Shelly Gupta has done B.Tech. in IT from GJUS&T, India in 2009 & M.Tech. in CSE from Banasthali University, India in 2011. She has published 3 research papers at National /Intl level with 1 yr exp. in research. Her interests are in Data Mining & Software Engg. She is also a member of CSI (Computer Society of India). She is now working as lecturer.
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Performance Analysis of Data Mining Classification Techniques
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848438755
ISBN 13: 9783848438754
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta ShellyShelly Gupta has done B.Tech. in IT from GJUS&T, India in 2009 & M.Tech. in CSE from Banasthali University, India in 2011. She has published 3 research papers at National /Intl level with 1 yr exp. in research. Her intere. Codice articolo 5522230
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Performance Analysis of Data Mining Classification Techniques
Editore:
LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848438755
ISBN 13: 9783848438754
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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 -The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate. 76 pp. Englisch. Codice articolo 9783848438754
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Performance Analysis of Data Mining Classification Techniques : Performance Analysis of Various Data Mining Classification Techniques on Healthcare Data
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848438755
ISBN 13: 9783848438754
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate. Codice articolo 9783848438754
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Performance Analysis of Data Mining Classification Techniques
Editore:
LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848438755
ISBN 13: 9783848438754
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Codice articolo 9783848438754
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