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» Improving the SLA Algorithm Using Association Rules
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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
15 years 7 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
ICML
2001
IEEE
16 years 3 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
15 years 2 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
17 years 2 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
AMDO
2008
Springer
15 years 4 months ago
Bone Glow: An Improved Method for the Assignment of Weights for Mesh Deformation
Many real-time algorithms for mesh deformation driven by animation of an underlying skeleton make use of a set of per-bone weights associated with each vertex. There are few unguid...
Rich Wareham, Joan Lasenby