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JGS
2010
89views more  JGS 2010»
13 years 4 months ago
Spatial models with spatially lagged dependent variables and incomplete data
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
Harry H. Kelejian, Ingmar R. Prucha
ER
2007
Springer
142views Database» more  ER 2007»
14 years 4 months ago
Multidimensional Data Modeling for Business Process Analysis
The emerging area of business process intelligence attempts to enhance the analytical capabilities of business process management systems by employing data warehousing and mining t...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
TDP
2008
160views more  TDP 2008»
13 years 10 months ago
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing
Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-ano...
Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius T...
ICIP
2004
IEEE
14 years 11 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy
ERSHOV
2003
Springer
14 years 3 months ago
Data Mappings in the Model-View-Controller Pattern
The model-view-controller pattern is used to keep a data model and its views consistent. Usually there is a one-to-one correspondence between the data in the model and its represen...
Martin Rammerstorfer, Hanspeter Mössenbö...