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» A General Framework for Knowledge Compilation
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WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
13 years 5 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICDE
2006
IEEE
136views Database» more  ICDE 2006»
15 years 11 months ago
XCluster Synopses for Structured XML Content
We tackle the difficult problem of summarizing the path/branching structure and value content of an XML database that comprises both numeric and textual values. We introduce a nov...
Neoklis Polyzotis, Minos N. Garofalakis
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
15 years 7 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...