Statistically Significant Co-location Pattern Mining

[1]  Shashi Shekhar,et al.  Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining , 2008, IEEE Transactions on Knowledge and Data Engineering.

[2]  Jörg Sander,et al.  SSCP: Mining Statistically Significant Co-location Patterns , 2011, SSTD.

[3]  Jörg Sander,et al.  Mining Statistically Significant Co-location and Segregation Patterns , 2014, IEEE Transactions on Knowledge and Data Engineering.

[4]  Stephen H. Roxburgh,et al.  The statistical validation of null models used in spatial association analyses , 1999 .

[5]  Peter J. Diggle,et al.  Displaced amacrine cells in the retina of a rabbit: analysis of a bivariate spatial point pattern , 1986, Journal of Neuroscience Methods.

[6]  Osmar R. Zaïane,et al.  Discovering Co-location Patterns in Datasets with Extended Spatial Objects , 2013, DaWaK.

[7]  Yan Huang,et al.  Discovering Spatial Co-location Patterns: A Summary of Results , 2001, SSTD.

[8]  Jiawei Han,et al.  Discovery of Spatial Association Rules in Geographic Information Databases , 1995, SSD.

[9]  Hui Xiong,et al.  Discovering colocation patterns from spatial data sets: a general approach , 2004, IEEE Transactions on Knowledge and Data Engineering.

[10]  Marymegan Daly,et al.  Evolution of sea anemones (Cnidaria: Actiniaria: Hormathiidae) symbiotic with hermit crabs. , 2010, Molecular phylogenetics and evolution.

[11]  Shashi Shekhar,et al.  A Joinless Approach for Mining Spatial Colocation Patterns , 2006, IEEE Transactions on Knowledge and Data Engineering.

[12]  B. Ripley The Second-Order Analysis of Stationary Point Processes , 1976 .