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A COMPARATIVE ANALYSIS FOR SMART WATER RESOURCE USING DATA MINING TOOLS
Authors: R.Sasikala
Number of views: 868
Cities are expecting dramatic population growth and so it will need new and intelligent
infrastructure to meet the needs of their citizens and businesses. The water provided by the 5
cities (Chennai, Trichy, Madurai, Coimbatore, Thanjavur) is not sufficient for the use of citizen.
In this project we have only considered the water resources available in the different area in
trichy. All resources are mapped in the Google map using KML (Keyhole Markup Language)
platform .The research also deals with providing a graphical view for the availability of ground
water resources of the 5 cities. The groundwater flow model for the study city was formulated by
using input data, such as the location of water resources and appropriate boundary conditions.
This project needs to collect data from various sources and analysis those data with some
datamining tools for predict or decision making process. After collections of various data, main
task it to maintain data apply transformation and preprocessing of large data sets for that data
mining tools is required. Now a day’s various tools for data mining are available either as opensource
or commercial software. It includes wide range of software products, from comfortable
problem-independent data mining suites, to business centered data warehouses with integrated
data mining capabilities and to early research prototypes for newly developed methods. These
projects are discussed about various available data mining tools and compare their utilities. We
use WEKA, Orange, R Studio, Tinn R, R tools for comparative study about the water resource
analysis.