International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 154 - Number 10 |
Year of Publication: 2016 |
Authors: Shreya Bhandge, A. A. Muzumdar, Charushila Bharambe, Nikhil Bachhav, Supriya Bakale |
10.5120/ijca2016912062 |
Shreya Bhandge, A. A. Muzumdar, Charushila Bharambe, Nikhil Bachhav, Supriya Bakale . Analysis and Solutions for Water Impurity based on Data Mining. International Journal of Computer Applications. 154, 10 ( Nov 2016), 43-44. DOI=10.5120/ijca2016912062
It is necessary to digitize the Government for making India digitized especially by making water impurities solution providing digitalized. E-water records i.e. datasets available on the internet that are e-government related services which makes the need of database fulfill and also the data of water impurity more efficient to build or to train the system using machine learning as it is real time records which contains the impurity records that are actually present in India . The system will provide quick solutions with the help of previous training on it with the help of database and will form clusters based on type of impurity type. The training done to system is using neural networks. The solution will be provided by email services.