Business Intelligence

SD-Miner System to Retrieve Probabilistic Neighborhood Points in Spatial Data Mining

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Executive Summary

In GIS or Geographic Information system technology, a vast volume of spatial data has been accumulated, thereby incurring the necessity of spatial data mining techniques. Displaying and visualizing such data items are important aspects. But no RDBMS software is loaded with displaying the spatial result over a MAP overlay or answer spatial queries like "All the points within" certain Neighborhood. In this paper, the authors propose a new spatial data mining system named SD-Miner. SD-Miner consists of three parts: A Graphical User Interface for inputs and outputs, a Data Mining Module that processes spatial data mining functionalities, a Data Storage Model that stores and manages spatial as well as non-spatial data by using a DBMS.

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