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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 8 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»
14 years 7 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
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 7 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
POPL
2006
ACM
14 years 7 months ago
Verifying properties of well-founded linked lists
We describe a novel method for verifying programs that manipulate linked lists, based on two new predicates that characterize reachability of heap cells. These predicates allow re...
Shuvendu K. Lahiri, Shaz Qadeer
STOC
2003
ACM
174views Algorithms» more  STOC 2003»
14 years 7 months ago
Adiabatic quantum state generation and statistical zero knowledge
The design of new quantum algorithms has proven to be an extremely difficult task. This paper considers a different approach to the problem, by studying the problem of 'quant...
Dorit Aharonov, Amnon Ta-Shma