Comparative Study of Spatial Data Mining Techniques
Kamalpreet Kaur Jassar, Kanwalvir Singh Dhindsa · 2015
Spatial data mining is a mining knowledge from large amounts of spatial data. Spatial data mining algorithms can be separated into four general categories: clustering and outlier detection, association and co-location method, trend detection and classification. All these methods have been compared according to various attributes. This paper introduces the fundamental concepts of widely known spatial data mining algorithms in a comparative way. It focuses on techniques and their unique features. General Terms Spatial data mining, spatial database, Clustering, geographic data