R. Regin, Department of Information Technology, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India.
S. Suman Rajest, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Tamil Nadu, India.
Bhopendra Singh, Amity University, Dubai.
Online First : 28 February 2021
Publisher Name : IJAICT India Publications, India.
DOI : https://doi.org/10.46532/xxx-xx-xxxxxx-x-x
Print ISBN : xxx-xx-xxxxxx-x-x
Online ISBN : xxx-xx-xxxxxx-x-x
Page :106-112
Abstract
This article reviews the approaches used in data mining to perform a geographical study of regional datasets coupled with Geographic Information Systems (GIS). Firstly, we can look at the functions of data mining used by such data and then illustrate their precision compared to their classic data use. We will further explain the research conducted in this sector and point out that two separate methods exist: one is focused on space database learning while the other is based on space statistics. Finally, we will address the key distinctions between these two methods and their similar features.
Keywords
Spatial Data Mining, Spatial Databases, Rules Induction, Spatial Statistics, Spatial Neighborhood.
Cite this article
R. Regin, S. Suman Rajest and Bhopendra Singh, “Spatial Data Mining Methods Databases and Statistics Point of Views”, Innovations in Information and Communication Technology, pp. 106-112, February, 2021.
Copyright
© 2021 R. Regin, S. Suman Rajest and Bhopendra Singh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
