Decision tree approach to build a model for water quality

Shailesh Jaloree, Anil Rajput, Sanjeev Gour

DOI: http://dx.doi.org/10.5138/bjdmn.v4i1.1563

Abstract


This paper presents a Classification data model using decision tree for the purpose of analyzing water quality data of MAA Narmada River at Harda district. The data model was implemented in WEKA software.  Classification using decision tree was applied to classify /predict the pollutant class of water. It is observed in the analysis that the Nitrogen

(NH3_N ,NO3_N), pH ,Temp _C, BOD, COD, other parameter relevant to water processes play an important role to assess the quality of river water. In this experiment we have used five attribute of water quality data which can affect accuracy of water.


Keywords


Data Mining, classification model, Decision tree, Weka Tool.

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References


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