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130
Voted
KDD
2004
ACM
161views Data Mining» more  KDD 2004»
15 years 9 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
129
Voted
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 4 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
153
Voted
SIGIR
2008
ACM
15 years 3 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
160
Voted
WWW
2004
ACM
16 years 4 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
142
Voted
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 4 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider