Mining 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 …
the same region. For example, human cases of West Nile Virus often occur in regions with …
Fast mining of spatial collocations
X Zhang, N Mamoulis, DW Cheung… - Proceedings of the tenth …, 2004 - dl.acm.org
Spatial collocation patterns associate the co-existence of non-spatial features in a spatial
neighborhood. An example of such a pattern can associate contaminated water reservoirs …
neighborhood. An example of such a pattern can associate contaminated water reservoirs …
Association rule interestingness measures: Experimental and theoretical studies
It is a common problem that Kdd processes may generate a large number of patterns
depending on the algorithm used, and its parameters. It is hence impossible for an expert to …
depending on the algorithm used, and its parameters. It is hence impossible for an expert to …
A framework for discovering co-location patterns in data sets with extended spatial objects
Co-location patterns are subsets of spatial features (eg freeways, frontage roads) usually
located together in geographic space. Recent literature has provided a transaction-free …
located together in geographic space. Recent literature has provided a transaction-free …
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located
together. For example, if two categories of businesses often locate together, they might be …
together. For example, if two categories of businesses often locate together, they might be …
Mining spatio-temporal association rules, sources, sinks, stationary regions and thoroughfares in object mobility databases
F Verhein, S Chawla - Database Systems for Advanced Applications: 11th …, 2006 - Springer
As mobile devices proliferate and networks become more location-aware, the corresponding
growth in spatio-temporal data will demand analysis techniques to mine patterns that take …
growth in spatio-temporal data will demand analysis techniques to mine patterns that take …
Finding probabilistic prevalent colocations in spatially uncertain data sets
L Wang, P Wu, H Chen - IEEE Transactions on Knowledge and …, 2011 - ieeexplore.ieee.org
A spatial colocation pattern is a group of spatial features whose instances are frequently
located together in geographic space. Discovering colocations has many useful …
located together in geographic space. Discovering colocations has many useful …
Fraction-score: A new support measure for co-location pattern mining
Co-location patterns are well-established on spatial objects with categorical labels, which
capture the phenomenon that objects with certain labels are often located in close …
capture the phenomenon that objects with certain labels are often located in close …
Parallel grid-based colocation mining algorithms on GPUs for big spatial event data
Colocation patterns refer to subsets of spatial features whose instances are frequently
located together. Mining colocation patterns is important in many applications such as …
located together. Mining colocation patterns is important in many applications such as …
Efficiently mining colocation patterns for range query
Colocation pattern mining finds a set of features whose instances frequently appear nearby
in the same geographical space. Most of the existing algorithms for colocation patterns find …
in the same geographical space. Most of the existing algorithms for colocation patterns find …