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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
130
Voted
IEAAIE
2005
Springer
15 years 6 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
GIS
2005
ACM
16 years 1 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
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
15 years 4 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
ICDM
2007
IEEE
476views Data Mining» more  ICDM 2007»
15 years 6 months ago
FiVaTech: Page-Level Web Data Extraction from Template Pages
In this paper, we proposed a new approach, called FiVaTech for the problem of Web data extraction. FiVaTech is a page-level data extraction system which deduces the data schema an...
Mohammed Kayed, Chia-Hui Chang, Khaled F. Shaalan,...