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Design and Development of Hybridized DBSCAN-NN Approach for Location Prediction to Place Water Treatment Plant

  • Mousi Perumal
  • Bhuvaneswari Velumani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 645)

Abstract

Water plays an important part in all living organisms on earth by balancing the entire ecosystem; the natural resource is being exploited and contaminated due to technological growth, urbanization, and human activities. The natural resource has now changed into a precious commodity, with which many businesses flourish. The objective of the work is to identify locations to set water purification plant near water bodies such as river, pond, and lake to reuse the contaminated water for agriculture and for other basic need using Spatial Data Mining (SDM). SDM operates on location-specific analysis stored in geo-databases which are a collection of spatial and non-spatial data. The spatial and non-spatial data for Coimbatore region is collected, and the location prediction for setting water treatment plant is done through DBSCAN-NN algorithm using SDM tools.

Keywords

Spatial Data Mining DBSCAN-NN Geo-databases Location prediction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer ApplicationsBharathiar UniversityCoimbatoreIndia

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