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Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms.
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Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms.
Biografía del autor
Akshay Jain is pursuing MTech from Maharishi Dayanand University, Rohtak in Computer Science. His current research interests include Data Mining classification algorithms and clustering algorithms. Akshay Jain received the B.Tech in IT from Maharishi Dayanand University, Rohtak in 2012. He is author of two research papers in International Journals.
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Performance Analysis of Classifiers using Data Mining Tool
Verlag:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 3330331526
ISBN 13: 9783330331525
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Artikel-Nr. 9783330331525
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Performance Analysis of Classifiers using Data Mining Tool
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330331526
ISBN 13: 9783330331525
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Artikel-Nr. 3330331526
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