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171
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
172
Voted
KDD
2009
ACM
16 years 5 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
153
Voted
KDD
2009
ACM
16 years 5 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
173
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
129
Voted
KDD
2003
ACM
16 years 5 months ago
2003
ACM
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...