performance analysis classifiers using de jain akshay (5 résultats)

Taschenbuch. Etat : 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.

Paperback. Etat : Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain AkshayAkshay 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.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 56 pp. Englisch.