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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 8 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
SIGMOD
2011
ACM
230views Database» more  SIGMOD 2011»
13 years 1 months ago
GBLENDER: visual subgraph query formulation meets query processing
Due to the complexity of graph query languages, the need for visual query interfaces that can reduce the burden of query formulation is fundamental to the spreading of graph data ...
Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, By...
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
14 years 3 months ago
Exposing origin-seeking bias in PSO
We discuss testing methods for exposing origin-seeking bias in PSO motion algorithms. The strategy of resizing the initialization space, proposed by Gehlhaar and Fogel and made po...
Christopher K. Monson, Kevin D. Seppi
CSCW
2010
ACM
14 years 7 months ago
Catchup: a useful application of time-travel in meetings
People are often required to catch up on information they have missed in meetings, because of lateness or scheduling conflicts. Catching up is a complex cognitive process where pe...
Simon Tucker, Ofer Bergman, Anand Ramamoorthy, Ste...
AAAI
2000
13 years 11 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier