Machine Learning Approaches in Spatial Data Mining
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 2
Abstract
This review paper surveys the integration of machine learning techniques in spatial data mining, a crucial intersection of geographic information systems and data mining. It examines the application of various machine learning algorithms such as classification, regression, clustering, and deep learning in spatial data analysis. The paper discusses challenges like data preprocessing, feature selection, and model interpretability, alongside recent advancements including spatial-temporal analysis and heterogeneous data integration. Through critical analysis of existing literature, it identifies trends, methodologies, and future research directions. Practical implications and applications across domains like urban planning, environmental monitoring, and epidemiology are explored. As a comprehensive resource, this review facilitates understanding and utilization of machine learning approaches for extracting insights from spatial data, benefiting researchers, practitioners, and policymakers alike.
Authors and Affiliations
Shalini Bhaskar Bajaj, Ashima Naran, and Priyanka Vashisth
Factors that Influence Internet Banking Adoption among Post-Graduate Students
Internet banking is increasingly becoming popular because of its convenience and flexibility. The growing popularity of internet banking was synchronized with rapidly changing technology. The main objective of this resea...
Design and Implementation of a Novel Modular Armed Advanced Robotic System (MAARS)
A Modular Armed Advanced Robotic System based on face recognition is intended for military applications identifies the unidentified individuals in border area or conflict zones or in any comparable location, and conducts...
Landslide Detection and Alert System Using PSoC
Landslide mainly happens especially due to heavy rainfall which leads to considerable loss of life, communication damage, damage to agricultural and forestlands, In this paper we are implementing with PSoC development ha...
Brain Haemorrhage Detection using LSTM, Convolution Neural Network and CT Scan Images
A brain hemorrhage is an eruption of the brain's arteries brought on by either excessive blood pressure or blood coagulation, which may result in fatalities or serious injuries. It is the kind of medical emergency that r...
A Review on Block Chain Technology
Block-chain is the foundation of all cryptocurrencies, including Bitcoins. Without the need of a third-party media, Blockchain is utilized for bitcoin transactions all around the world. Blockchain is used for worldwide d...