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ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 1 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
TSDM
2000
189views Data Mining» more  TSDM 2000»
13 years 11 months ago
Join Indices as a Tool for Spatial Data Mining
The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data m...
Karine Zeitouni, Laurent Yeh, Marie-Aude Aufaure
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
14 years 10 days ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov
DMIN
2006
156views Data Mining» more  DMIN 2006»
13 years 8 months ago
Design of a data mining framework to mine generalized association rules in a web-based GIS
A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
Sebastian Haehnel, Johannes Hauf, Thomas Kudrass