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Anglický jazyk
Parallel Approach For Finding Co-Location Patterns
Autor: Sheshikala Martha
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... Viac o knihe
Na objednávku
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O knihe
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.
- Vydavateľstvo: Scholars' Press
- Rok vydania: 2018
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786202311038
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