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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 21 days ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
JMLR
2010
157views more  JMLR 2010»
13 years 3 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
14 years 6 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
CICLING
2006
Springer
14 years 16 days ago
A General and Multi-lingual Phrase Chunking Model Based on Masking Method
Several phrase chunkers have been proposed over the past few years. Some state-of-the-art chunkers achieved better performance via integrating external resources, e.g., parsers and...
Yu-Chieh Wu, Chia-Hui Chang, Yue-Shi Lee