An Effective Analysis of Spatial Data using Nearness Queries
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2022
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| _version_ | 1866901231097610240 |
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| author | M. Vasavi Swathi Agarwal G. Shailaja |
| author_facet | M. Vasavi Swathi Agarwal G. Shailaja |
| contents | In this article a combination of geo-spatial data and geographic Information system (GIS) has been review with nearness queries. First Listing of various data mining functions along with applications by considering the classical data is first step of this article. A brief pointing of spatial databases with statistics with various approaches is described. A basic difference of spatial queries approaches for classical data is shown with examples. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18491612 |
| institution | Zenodo |
| language | |
| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | An Effective Analysis of Spatial Data using Nearness Queries M. Vasavi Swathi Agarwal G. Shailaja Spatial Data Mining Rules induction spatial statistics neighborhood. In this article a combination of geo-spatial data and geographic Information system (GIS) has been review with nearness queries. First Listing of various data mining functions along with applications by considering the classical data is first step of this article. A brief pointing of spatial databases with statistics with various approaches is described. A basic difference of spatial queries approaches for classical data is shown with examples. |
| title | An Effective Analysis of Spatial Data using Nearness Queries |
| topic | Spatial Data Mining Rules induction spatial statistics neighborhood. |
| url | https://doi.org/10.5281/zenodo.18491612 |