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DATAMINE
1998
126views more  DATAMINE 1998»
15 years 3 months ago
An Extension to SQL for Mining Association Rules
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...
Rosa Meo, Giuseppe Psaila, Stefano Ceri
122
Voted
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 10 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
124
Voted
PKDD
2009
Springer
110views Data Mining» more  PKDD 2009»
15 years 10 months ago
Using Temporal Language Models for Document Dating
Abstract. In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem...
Nattiya Kanhabua, Kjetil Nørvåg
126
Voted
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
142
Voted
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 4 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar