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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
15 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
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
15 years 9 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
15 years 9 months ago
Fast range-summable random variables for efficient aggregate estimation
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
Florin Rusu, Alin Dobra
SIGMOD
2002
ACM
129views Database» more  SIGMOD 2002»
15 years 9 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...