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» Detection of Spatial Changes using Spatial Data Mining
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VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 3 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
BMCBI
2005
104views more  BMCBI 2005»
14 years 9 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
PAMI
2008
189views more  PAMI 2008»
14 years 9 months ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
DEXAW
1999
IEEE
142views Database» more  DEXAW 1999»
15 years 2 months ago
Developments in Spatio-Temporal Query Languages
ing spatio-temporal data as abstract data types into already existing data models is a promising approach to creating spatio-temporal query languages. In this context, an importan...
Martin Erwig, Markus Schneider
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
15 years 10 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...