A COMPARATIVE ANALYSIS FOR SMART WATER RESOURCE USING DATA MINING TOOLS

R. Sasikala

doi:10.29121/granthaalayah.v5.i7(SE).2017.2039

Authors

R.Sasikala Department of Computer Science, National College (Autonomous), Trichirappalli, TamilNadu, India

DOI:

https://doi.org/10.29121/granthaalayah.v5.i7(SE).2017.2039

Keywords:

Data Mining, Bacteriostatic Water, Weka Tool, Algorithm

Abstract [English]

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 open-source 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.

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