PREDICTION OF WATER QUALITY FOR THE SELANGOR RIVERS USING DATA MINING APPROACH
There are few studies using the data mining approach to assess the quality of water, especially for Selangor rivers. This study assesses the water quality using data mining techniques and identified the most significant variables that affect water quality. Machine learning techniques used are Decisi...
Published in: | Journal of Sustainability Science and Management |
---|---|
Main Author: | Ibrahim N.; Rahman H.A.A.; Azran A.A.; Faddillah M.A.M.; Qamarudin M.A.Q.M. |
Format: | Article |
Language: | English |
Published: |
Universiti Malaysia Terengganu
2023
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172922072&doi=10.46754%2fjssm.2023.09.0012&partnerID=40&md5=399c58c33b51a7893e46becc1ee7878f |
Similar Items
-
Assessment of Water Quality and Heavy Metals Concentration in Selangor River
by: Saidi N.M.; Yunus S.M.; Zaizisham N.A.; Nik Ariffin N.A.
Published: (2024) -
Water Quality Assessment in Wet Season of Langat River, Selangor, Malaysia
by: Danish, et al.
Published: (2024) -
Type 2 Diabetes Mellitus Prediction Using Data Mining Approach
by: Halias A.F.; Saiful N.H.; Ibrahim N.; Muhamad Jamil S.A.; Mansor M.M.; Ul - Saufie A.Z.; Md Ghani N.A.
Published: (2023) -
Data mining framework for protein function prediction
by: Rahman S.A.; Hussein Z.A.M.; Bakar A.A.
Published: (2008) -
Artificial neural network modeling for predicting the quality of water in the Sabak Bernam River
by: Affandi F.; Rahman M.F.A.; Ani A.I.C.; Sulaiman M.S.
Published: (2022)