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» Phenomenal Data Mining: From Data to Phenomena
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WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
15 years 8 months ago
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We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
15 years 8 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»
15 years 8 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
ROCAI
2004
Springer
15 years 6 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
VLDB
2004
ACM
163views Database» more  VLDB 2004»
15 years 6 months ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...