Research on Intelligent Data Mining Technology Based on Geographic Information System

Geographic Information Systems (GIS), as a key means of managing, storing, and analyzing spatial information, have attracted much attention in the field of GIS due to the rapid development of big data and intelligent technology. This article elaborates on the intelligent data mining process based on information collection, data storage, data processing, and data analysis, supplemented by practical application cases, including urban traffic flow research, intelligent transportation system design, and commercial network layout optimization, to demonstrate its broad prospects in practical applications. This article summarizes how intelligent data mining technology can improve the efficiency and accuracy of GIS work, and predicts its future application prospects in smart cities, environmental monitoring, and spatial layout planning, providing a theoretical basis for the deep integration of GIS and data mining technology.

Authors

Publication Details

Journal
Journal of Computer Science and Artificial Intelligence
Published
2025-02-27
DOI
https://doi.org/10.54097/1skxpp12
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
2.45
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article

Research on Intelligent Data Mining Technology Based on Geographic Information System

Junyu Chen
1 citations
Journal of Computer Science and Artificial Intelligence
E-commerce and Technology Innovations
2.45
article

Research on Intelligent Data Mining Technology Based on Geographic Information System

Junyu Chen
article en
1 citations

Abstract

Geographic Information Systems (GIS), as a key means of managing, storing, and analyzing spatial information, have attracted much attention in the field of GIS due to the rapid development of big data and intelligent technology. This article elaborates on the intelligent data mining process based on information collection, data storage, data processing, and data analysis, supplemented by practical application cases, including urban traffic flow research, intelligent transportation system design, and commercial network layout optimization, to demonstrate its broad prospects in practical applications. This article summarizes how intelligent data mining technology can improve the efficiency and accuracy of GIS work, and predicts its future application prospects in smart cities, environmental monitoring, and spatial layout planning, providing a theoretical basis for the deep integration of GIS and data mining technology.

Journal of Computer Science and Artificial IntelligenceVol. 2(2)
Openalex Percentile: Top 14%
E-commerce and Technology Innovations
2.45
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