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» Techniques of Cluster Algorithms in Data Mining
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SIGMOD
2002
ACM
129views Database» more  SIGMOD 2002»
14 years 7 months ago
Dwarf: shrinking the PetaCube
Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalesci...
Yannis Sismanis, Antonios Deligiannakis, Nick Rous...
SIGMOD
2008
ACM
210views Database» more  SIGMOD 2008»
14 years 7 months ago
Private queries in location based services: anonymizers are not necessary
Mobile devices equipped with positioning capabilities (e.g., GPS) can ask location-dependent queries to Location Based Services (LBS). To protect privacy, the user location must n...
Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, C...
CIKM
2006
Springer
13 years 11 months ago
On the structural properties of massive telecom call graphs: findings and implications
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
CSDA
2008
128views more  CSDA 2008»
13 years 7 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
CGF
2006
183views more  CGF 2006»
13 years 7 months ago
Data-driven Local Coordinate Systems for Image-Based Rendering
Image-based representations of an object profit from known geometry. The more accurate this geometry is known, the better corresponding pixels in the different images can be align...
Gero Müller, Ralf Sarlette, Reinhard Klein