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» Efficient Discovery of Confounders in Large Data Sets
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ICWS
2009
IEEE
13 years 5 months ago
An Efficient Service Discovery Algorithm for Counting Bloom Filter-Based Service Registry
The Service registry, the yellow pages of ServiceOriented Architecture (SOA), plays a central role in SOAbased service systems. The service registry has to be scalable to manage l...
Shuxing Cheng, Carl K. Chang, Liang-Jie Zhang
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 9 months ago
Counting at Large: Efficient Cardinality Estimation in Internet-Scale Data Networks
Counting in general, and estimating the cardinality of (multi-) sets in particular, is highly desirable for a large variety of applications, representing a foundational block for ...
Nikos Ntarmos, Peter Triantafillou, Gerhard Weikum
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
13 years 9 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 5 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
CICLING
2008
Springer
13 years 9 months ago
Verb Class Discovery from Rich Syntactic Data
Abstract. Previous research has shown that syntactic features are the most informative features in automatic verb classification. We investigate their optimal characteristics by co...
Lin Sun, Anna Korhonen, Yuval Krymolowski