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SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 10 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
14 years 10 months ago
Mining tree queries in a graph
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
Bart Goethals, Eveline Hoekx, Jan Van den Bussche
ICAI
2003
13 years 11 months ago
Mining Generalized Sequential Patterns Using Genetic Programming
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
Sandra de Amo, Ary dos Santos Rocha Jr.
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 10 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
ICDE
2007
IEEE
128views Database» more  ICDE 2007»
14 years 1 months ago
Realizing Privacy-Preserving Features in Hippocratic Databases
Preserving privacy has become a crucial requirement for operating a business that manages personal data. Hippocratic databases have been proposed to answer this requirement throug...
Yasin Laura-Silva, Walid G. Aref