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COLING
2002
14 years 11 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler
MLDM
2007
Springer
15 years 5 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
15 years 11 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 3 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
SIGECOM
2011
ACM
216views ECommerce» more  SIGECOM 2011»
14 years 2 months ago
Strategic sequential voting in multi-issue domains and multiple-election paradoxes
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
Lirong Xia, Vincent Conitzer, Jérôme ...