Packaged Drinking Water Analysis by Classification Technique of Data Mining
Swapnali D. Mahadik1, Anup Girdhar2
1Ms. Swapnali D. Mahadik, Ph.D Research Scholar, TMV, Assistant Professor, MCA, Navinchandra Mehta Institute of Technology and Development, Mumbai (Maharashtra), India
2Dr. Anup Girdha, Ph.D. Guide, Tilak Maharashtra Vidyapeeth, Pune (Maharashtra), India
Manuscript received on 24 November 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 30 December 2019 | PP: 352-355 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10851292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1085.1292S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In a world where sufficient and safe water is not available everywhere, either because of harmful substances are found in the layer of earth surface which enter into a water or may be because of some other microorganisms. However what about packaged drinking water is safest is the big question. To analyze this proposed a model which helps to compare few brands of packaged drinking water and checked certain water quality level through customized classification technique of data mining. Proposed customized classification model can predict safe water based on the parameters of water quality which make ease of work of the laboratory technician by predicting which packaged water will be safest to drink.
Keywords: Packaged Drinking Water, Microorganism, Customized Classification, Data Mining.
Scope of the Article: Data Mining