Spatial data mining for finding nearest neighbor and outlier detection

2016 International Journal of Latest Trends in Engineering and Technology  
A spatial database is a collection of records related to space. The space can be a geographic space, a human body or a VLSI chip [15] . In SDBMS, objects are defined in a geometrical shape such as points, lines and polygons. Spatial database offers spatial data types, data models and query languages to process the spatial data. The major components of spatial database include a data model, query languages, processing and optimization tools, and indices. Examples of spatial databases include
more » ... her climate data, river, farms, medical imaging etc. Spatial databases support spatial indexing, efficient algorithms for processing spatial operations, and domain specific rules for query optimization. Spatial databases can be used in medical, astrology, biology, and defense and in many more areas. A geographic information system (GIS) or geospatial information system is designed to capture, store, manipulate, analyze, manage, and present all types of spatial or geographical data. In GIS there can be many problems that include finding the nearest neighbor or finding the outliers in a data set.
doi:10.21172/1.81.004 fatcat:i3zv2lin5navvh4safdbkr6gey