DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-2, Issue-12 ( Dec, 2014 ) | |||||||||
Paper Title |
Uses The Bagging Algorithm of Classification Method With Weka Tool For Prediction Technique | |||||||||
Author Name |
Pooja Shrivastava, Manoj Shukla | |||||||||
Affilition |
Computer Science and Engineering, Jayoti Vidyapeeth Women’s University, of Ph.D. Research Scholar (JVR-II/12/5010) Jaipur, India Computer Science and Engineering, Associate Professor, Sunder deep group of Institution, Ghaziabad, U.P. | |||||||||
Pages |
91-95 | |||||||||
Abstract |
Classification is the more important concept of data mining and it is a form of data analysis. Classifiers increasing the accuracy in data mining techniques. This paper presents the analysis of accuracy for forest fire database in UCI machine learning with the help of classification techniques. This analysis work is performed with bagging algorithm and WEKA tool. Keywords- Bagging Algorithm, Classification Concept, Forest Fire Data Set, WEKA Tool. | |||||||||
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