Comparison of Data Mining Classification Method for Predicting Crop Water Requirement

Authors(2) :-Navtej Bhatt, Dr. P.V.Virparia

In this paper, we have compared different data mining classification algorithm. Out of many decision tree algorithm, we have selected J48, DecisionStump, RAPTree and RandomTree. All the information we have collected from our study area are first preprocessed and it is converted into ARFF file. We have used open source tool Weka for comparison and presented the result. Based on the result, we have concluded that RandomTree gives best performance on our Data.

Authors and Affiliations

Navtej Bhatt
MCA Department, Smt. V.B.Nandola MCA College, Bhacha, Gujarat, India
Dr. P.V.Virparia
G.H.Patel Department of Computer Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India

Data Mining, Decision Tree, Crop Water Requirement

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 34-40
Manuscript Number : CSEIT183345
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Navtej Bhatt, Dr. P.V.Virparia, "Comparison of Data Mining Classification Method for Predicting Crop Water Requirement ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.34-40, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT183345

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