Decision tree approach to build a model for water quality

Shailesh Jaloree, Anil Rajput, Sanjeev Gour



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.


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

Full Text:



. Dehalwar kavita and Singh Jagdish ,2012-“Water Resources Management and Water Quality, case of Bhopal” , International Conference on Chemical, Ecology and Environmental Sciences (ICEES'2012) march 17-18, 2012 Bangkok.

. Fayyad U.M., Piatetsky-Shapiro G., Smyth P., (1996), From Data Mining to Knowledge.

. Han, J. and M. Kamber, Data Mining: Concepts and Techniques Morgan Kaufmann, 2001.

. Frawley William J., Gregory Piatetsky-Shapiro, and Christopher J. Matheus (1992) “Knowledge Discovery in Databases: An Overview.AI Magazine Volume 13 Number 3 .

. Bhargava Neeraj et al ,2010- “Mining higher educational students data to analyze studentÊs admission in various discipline” . Binary Journal of Data Mining & Networking.

. Bhargava Neeraj et al ,2013 –“Decision Tree Analysis on J48 Algorithm for Data Mining”-International journal of advance research in computer science and software engineering,vol-3,issue-6.

. Manchanda sanjeev ,Dave Mayank and singh S. B. An Empirical Comparison Of Supervised Learning Processes “International Journal of Engineering, Volume (1) : Issue (1) .


  • There are currently no refbacks.

Advanced Research Journals

18K, Street 1st, Gaytri Vihar, Pinto Park, Gwalior, M.P. India (Design) 2009-2016


Follow @arjournals on Twitter