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» Spatial network modeling for databases
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SAC
2005
ACM
15 years 5 months ago
Identifying topological predicates for vague spatial objects
Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague ...
Alejandro Pauly, Markus Schneider
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
15 years 3 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
DATAMINE
2000
118views more  DATAMINE 2000»
14 years 11 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
DOLAP
2006
ACM
15 years 5 months ago
Towards a logical multidimensional model for spatial data warehousing and OLAP
Decision support systems (DSS) may be enhanced qualitatively if they are able to also deal with spatial dimensions and measures. Regardless the evident importance of using data wa...
Marcus Costa Sampaio, Andre Gomes de Sousa, Cl&aac...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 5 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis