منابع مشابه
Mining Co-location Patterns from Spatial Data Using Rulebased Approach
Co-location pattern is a group of spatial features/events that are frequently co-located in the same region. The co-location pattern discovery process finds the subsets of features frequently located together. Co-location rules are identified by spatial statistics or data mining techniques. A co-location algorithm has been used to discover the co-location patterns which possess an ant monotone ...
متن کاملMining Of Spatial Co-location Pattern from Spatial Datasets
Spatial data mining, or knowledge discovery in spatial database, refers to the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases. Spatial data mining is the process of discovering interesting characteristics and patterns that may implicitly exist in spatial database. A huge amount of spatial data and newly emerging concept of Spati...
متن کاملMining Co-Location Patterns with Rare Events from Spatial Data Sets
A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in regions with poor mosquito control and the presence of birds. For colocation pattern mining, previous studies often emphasize the equal participation of every spatial feature. As a result, interesting patterns involving events ...
متن کاملFp-tree Based Spatial Co-location Pattern Mining
A co-location pattern is a set of spatial features frequently located together in space. A frequent pattern is a set of items that frequently appears in a transaction database. Since its introduction, the paradigm of frequent pattern mining has undergone a shift from candidate generation-and-test based approaches to projection based approaches. Co-location patterns resemble frequent patterns in...
متن کاملMining of Spatial Co-location Pattern Implementation by Fp Growth
Mining co-location patterns from spatial databases may disclose the types of spatial features which are likely located as neighbours in space. Accordingly, we presented an algorithm previously for mining spatially co-located moving objects using spatial data mining techniques and Prim's Algorithm. In the previous technique, the scanning of database to mine the spatial co-location patterns took ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/16267-5994