Recommendation of Optimal Locations for Government Funded Educational Institutes in Urban India Using a Hybrid Data Mining Technique

摘要: The Government of India has introduced schemes to build educational facilities in areas where literacy rate is less than the national average. It was found that a sufficient criterion with respect rural but different approach must be taken for urban planning because space constraints, heterogeneous communities and varied background children living areas. A hybrid data mining method discover optimum locations proposed. combination rule-based classification spatial clustering. Rule-based used identify relevant points from set. New parameters like dropout ratio out school are measure relevance since alone an insufficient criterion. Spatial clustering group according their location. center each cluster signifies location facility. modified COD-CLARANS algorithm two aspects. proposed absolute error, E, calculated using shortest path commute on city roads rather obstructed distance pre-processing step original algorithm. Secondly, only available establishment facility considered represent clusters. seeks improve efficiency make technique more setting. comparison between algorithms presented.