Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets

A spatial colocation pattern is a group of spatial features whose instances are frequently located together in geographic space. Discovering colocations has many useful applications. For example, colocated plant species discovered from plant distribution data sets can contribute to the analysis of p...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2013-04, Vol.25 (4), p.790-804
Hauptverfasser:	Wang, Lizhen, Wu, Pinping, Chen, Hongmei
Format:	Artikel
Sprache:	eng
Schlagworte:	approximate algorithms Approximation algorithms Data mining Data models Dynamic programming Heuristic algorithms Indexes possible worlds Probabilistic logic probabilistic prevalent colocations (PPCs) Spatial colocations spatially uncertain data set
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