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ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
16 years 1 months ago
Finding Maximal Fully-Correlated Itemsets in Large Databases
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...
Lian Duan, William Nick Street
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
16 years 1 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
16 years 1 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 1 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
16 years 1 months ago
Iterative Set Expansion of Named Entities Using the Web
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
Richard C. Wang, William W. Cohen
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