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» Detection of Spatial Changes using Spatial Data Mining
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148
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VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 8 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
128
Voted
BMCBI
2005
104views more  BMCBI 2005»
15 years 2 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»
15 years 2 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 6 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
116
Voted
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 2 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, ...