Preference-based Spatial Co-location Pattern Mi. Wang, Fang, Zhou**
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.
Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining
Preference-based Spatial Co-location Pattern Mining
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Preference-based Spatial Co-location Pattern Mi. Wang, Fang, Zhou**
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.
Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining
Preference-based Spatial Co-location Pattern Mining
Free UK delivery on this item.
This brand new item is available with free UK delivery using Royal Mail tracked services.
Please note: ;
Price now:
From
ÂŁ99.38
To
ÂŁ122.26
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Product Description
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.
Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining
Preference-based Spatial Co-location Pattern Mining
Free UK delivery on this item.
This brand new item is available with free UK delivery using Royal Mail tracked services.
Please note: ;
Product Specifications
General | |
|---|---|
format | hardback |
Language | eng |
type | not available |
series | big data management ser. |
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