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» Efficiently Mining Regional Outliers in Spatial Data
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GIS
2009
ACM
14 years 8 months ago
Efficient and Secure Distribution of Massive Geo-Spatial Data
Modern geographic databases can contain a large volume of data that need to be distributed to subscribed customers. The data can be modeled as a cube, where typical dimensions inc...
Hao Yuan, Mikhail J. Atallah
SSD
1993
Springer
112views Database» more  SSD 1993»
13 years 11 months ago
A Storage and Access Architecture for Efficient Query Processing in Spatial Database Systems
: Due to the high complexity of objects and queries and also due to extremely large data volumes, geographic database systems impose stringent requirements on their storage and acc...
Thomas Brinkhoff, Holger Horn, Hans-Peter Kriegel,...
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
14 years 2 months ago
Redistricting Using Heuristic-Based Polygonal Clustering
— Redistricting is the process of dividing a geographic area into districts or zones. This process has been considered in the past as a problem that is computationally too comple...
Deepti Joshi, Leen-Kiat Soh, Ashok Samal
ESANN
2000
13 years 9 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
GIS
2008
ACM
14 years 8 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...