Sciweavers

Share
5 search results - page 1 / 1
» A framework for regional association rule mining and scoping...
Sort
View
GEOINFORMATICA
2011
9 years 6 months ago
A framework for regional association rule mining and scoping in spatial datasets
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
10 years 5 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efļ¬cient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
10 years 6 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
GIS
2008
ACM
11 years 26 days ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
GIS
2009
ACM
10 years 4 months ago
REG^2: a regional regression framework for geo-referenced datasets
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
Oner Ulvi Celepcikay, Christoph F. Eick
books