International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 82
Paper Published : 1209
No. of Authors : 3038
  Journal Paper

Paper Title
Uses The Bagging Algorithm of Classification Method With Weka Tool For Prediction Technique

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.


Author - Pooja Shrivastava, Manoj Shukla

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| Published on 2014-12-02
   
   
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