Performance Analysis of Classifiers using Data Mining Tool - Couverture souple

Jain, Akshay; Jain, Divya; Kumar, Dinesh

 
9783330331525: Performance Analysis of Classifiers using Data Mining Tool

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.