SCHOOL MAPPING ANALYSIS SYSTEM BY INTEGRATION OF SPATIAL DATA MINING FOR AURANGABAD CITY

Sudhir P. Khobragade, K.V.Kale

Abstract: India is a developing country with large and rapidly growing population; it overtook different challenges and result socioeconomic indicators tend not to show positive movement. Education is the basic elementary for any country. School mapping is an crucial planning tool to overcome probabilities of regional variation arising from the investment policies of the public jurisdiction. In Developing Countries School mapping (SM) is a normative approach to the planning of schools which is used to create necessary conditions to achieve universal primary and secondary education. The objective of this research paper is to generate knowledge based rules by using spatial data mining to classify the category of data and generate the rules , which is useful for government authorities to get the locations of categories of schools with detail inforation and parents to decide best school for their children

Keywords: School Mapping, Spatial Data Mining, Smart city, GIS, K-means Classifier, Google Map API, Clustering

DOI: https://doi.org/10.15623/ijret.2017.0603022