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Volume : X, Issue : XI, December - 2020

MULTI DIMENSIONAL SPATIAL DATA

Prof. Santosh Kulkarni, None

By : Laxmi Book Publication

Abstract :

Spatial data mining is the process of extracting knowledge from large amounts of spatial data. It turns into a profoundly requesting field on the grounds that tremendous measures of spatial information have been gathered in different applications going from geo-spatial information to bio-clinical information.

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Cite This Article :

Prof. Santosh Kulkarni, None(2020). MULTI DIMENSIONAL SPATIAL DATA. Indian Streams Research Journal, Vol. X, Issue. XI, http://isrj.org/UploadedData/10599.pdf

References :

  1. Ankerst M., Markus M. B., Kriegel H., Sander J(1999), “OPTICS: Ordering Points To Identify the Clustering Structure”, Proc.ACM SIGMOD’99 Int. Conf. On Management of Data, Philadelphia, PA, pp.49-60.
  4. Ester M., Kriegel H., Sander J., Xiaowei Xu (1996), “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise”, KDD’96, Portland, OR, pp.226-231.

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