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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 7 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
EOR
2007
165views more  EOR 2007»
15 years 6 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
SIGSOFT
2005
ACM
16 years 7 months ago
Matching execution histories of program versions
We develop a method for matching dynamic histories of program executions of two program versions. The matches produced can be useful in many applications including software piracy...
Xiangyu Zhang, Rajiv Gupta
CASES
2006
ACM
16 years 12 days ago
Adaptive object code compression
Previous object code compression schemes have employed static and semiadaptive compression algorithms to reduce the size of instruction memory in embedded systems. The suggestion ...
John Gilbert, David M. Abrahamson
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 10 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer