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KDD
2000
ACM
107views Data Mining» more  KDD 2000»
13 years 8 months ago
A general probabilistic framework for clustering individuals and objects
Igor V. Cadez, Scott Gaffney, Padhraic Smyth
BMCBI
2007
105views more  BMCBI 2007»
13 years 4 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 5 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
ISI
2008
Springer
13 years 4 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh