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Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm

A.K.Bhavsar 1 , J.S. Shah2

  1. Research Scholar, Rai University, Ahmedabad, India.
  2. Formar Principal, Government Engineering College, Patan North Gujarat, India.

Correspondence should be addressed to: asgujar@rediffmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 367-372, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.367372

Online published on Oct 30, 2017

Copyright © A.K.Bhavsar, J.S. Shah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: A.K.Bhavsar, J.S. Shah, “Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.367-372, 2017.

MLA Style Citation: A.K.Bhavsar, J.S. Shah "Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm." International Journal of Computer Sciences and Engineering 5.10 (2017): 367-372.

APA Style Citation: A.K.Bhavsar, J.S. Shah, (2017). Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm. International Journal of Computer Sciences and Engineering, 5(10), 367-372.

BibTex Style Citation:
@article{Shah_2017,
author = {A.K.Bhavsar, J.S. Shah},
title = {Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {367-372},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1530},
doi = {https://doi.org/10.26438/ijcse/v5i10.367372}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.367372}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1530
TI - Cloud Based Decision Support System for Waste-Water Management using Supervised Decision Tree Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - A.K.Bhavsar, J.S. Shah
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 367-372
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

As reuse is gaining popularity, there is challenge for the wastewater reusability also. Now a day’s lots of research work are in boon for such system. In context with this there is need to develop systems which help to decision maker where to use wastewater. Population grows with rising standard of living; more wastewater is generated and disposed to sensitive environments with negative impact on humans and ecosystems. The aim of this research is to develop a DSS by using Machine Learning technique specifically supervised Decision Tree Algorithm, which is intended for applying intelligent decisions supporting reuse of wastewater management. This developed system provides best decision for the reuse of wastewater after the treatment. Further this system is deployed on cloud, as Cloud computing provides a good manageability and fast computational service. Currently its very challenging for exiting system stakeholders specifically ( Municipal Corporation or user) to use this type of cloud based DSS for waste water. To upgrade this management scenario, this research project proposes CBDSSWWM.

Key-Words / Index Term

Cloud Computing, Waste water management, BOD, COD, PH, COLOR, MPN, TURBIDITY, TSS

References

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