Parallel Approach For Finding Co-Location Patterns - Sheshikala Martha
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Saadetis 15-21 tööpäeva jooksul
30-päevane tagastamisõigus
The book discuss about the spatial co-location mining which finds the co-locations parallel which reduces the time complexity. Spatial co-location patterns represent a subset of features whose instances are frequently co-located in close proximity; For example Mountain area and new truck purchased are frequently co-located patterns, indicating that a person living close to mountainous areas is likely to buy ... Täielik kirjeldus
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Kirjeldus
The book discuss about the spatial co-location mining which finds the co-locations parallel which reduces the time complexity. Spatial co-location patterns represent a subset of features whose instances are frequently co-located in close proximity; For example Mountain area and new truck purchased are frequently co-located patterns, indicating that a person living close to mountainous areas is likely to buy a truck. Since the instances of spatial features are embedded in a continuous space and share a variety of spatial relationships the implementation of co-location mining can be taken as a challenge.
Lisateave
| Autor | Sheshikala Martha |
|---|---|
| Kirjastaja | Scholars' Press |
| Väljalaskeaasta | 2018 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9786202311038 |