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Clustering Algorithm for Spatial Data Mining: An Overview

by A. Padmapriya, N. Subitha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 10
Year of Publication: 2013
Authors: A. Padmapriya, N. Subitha
10.5120/11617-7014

A. Padmapriya, N. Subitha . Clustering Algorithm for Spatial Data Mining: An Overview. International Journal of Computer Applications. 68, 10 ( April 2013), 28-33. DOI=10.5120/11617-7014

@article{ 10.5120/11617-7014,
author = { A. Padmapriya, N. Subitha },
title = { Clustering Algorithm for Spatial Data Mining: An Overview },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 10 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number10/11617-7014/ },
doi = { 10.5120/11617-7014 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:29.389012+05:30
%A A. Padmapriya
%A N. Subitha
%T Clustering Algorithm for Spatial Data Mining: An Overview
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 10
%P 28-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Spatial data mining practice for the extraction of useful information and knowledge from massive and complex spatial database. Most research in this area has focused on efficient clustering algorithm for spatial database to analyze the complexity. This paper introduces an active spatial data mining approach that extends the current spatial data mining algorithms to efficiently support user-defined triggers on dynamically evolving spatial data. It shows that spatial data mining is a promising field, with fruitful research results and many challenging issues.

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Index Terms

Computer Science
Information Sciences

Keywords

Spatial data mining Spatial database K-mean Spatial relationship Datamining

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