A Survey on Location-based Geospatial Data Mining Using Digital Image Processing Techniques
Authors: Anita Harsoor and Bhavani Soma
Publishing Date: 28-11-2022
ISBN: 978-81-955020-5-9
Abstract
In our daily lives, we face many potential problems, such as potholes, garbage filling, uncomfortable parking, broken/damaged roads, etc. To report a complaint about this kind of problem becomes a great hassle. To solve such problems we will be developing Geospatial Data Mining System termed as GDMS which will be an android application for the retrieving and analyzing of a textual database with geographical positions and images as proof of the problem which can be used anywhere and at any time. The system comprises four modules: data collection, data pre-processing, data analysis and data visualization. GDMS system will be used to collect data that will be used by common people/civilians to register the complaint about the problem that was found. This paper presents research done on relevant topics/techniques of image processing.
Keywords
Data Pre-processing, K-Means, SVM, Data Mining
Cite as
Anita Harsoor and Bhavani Soma, "A Survey on Location-based Geospatial Data Mining Using Digital Image Processing Techniques", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 569-575. https://doi.org/10.52458/978-81-955020-5-9-55