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PAKDD
2007
ACM
109views Data Mining» more  PAKDD 2007»
13 years 12 months ago
A Language and a Visual Interface to Specify Complex Spatial Patterns
The emerging interests in spatial pattern mining lead to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language cou...
Xiaohui Li, Yan Huang
VISSYM
2004
13 years 7 months ago
Volume Visualization and Visual Queries for Large High-Dimensional Datasets
We propose a flexible approach for the visualization of large, high-dimensional datasets. The raw, highdimensional data is mapped into an abstract 3D distance space using the Fast...
Guido Reina, Thomas Ertl
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 6 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
13 years 12 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
IEAAIE
2005
Springer
13 years 11 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