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PPSN
2004
Springer
14 years 25 days ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
13 years 11 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 7 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 5 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 7 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen