Sciweavers

76 search results - page 1 / 16
» Extracting spatial association rules from spatial transactio...
Sort
View
GIS
2005
ACM
14 years 5 months ago
Extracting spatial association rules from spatial transactions
Georeferenced information is growing every day, and geographical information systems are becoming crucial in many decision processes. As a consequence, extracting knowledge from G...
Salvatore Rinzivillo, Franco Turini
IEAAIE
2005
Springer
13 years 10 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
ISMIS
2005
Springer
13 years 10 months ago
Mining and Filtering Multi-level Spatial Association Rules with ARES
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the ...
Annalisa Appice, Margherita Berardi, Michelangelo ...
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
13 years 10 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 2 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi