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105
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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
CSL
2001
Springer
15 years 7 months ago
A Logic for Approximate First-Order Reasoning
Abstract. In classical approaches to knowledge representation, reasoners are assumed to derive all the logical consequences of their knowledge base. As a result, reasoning in the ï...
Frédéric Koriche
137
Voted
ADHOCNOW
2008
Springer
15 years 9 months ago
Approximating Minimum-Power k-Connectivity
Abstract. The Minimum-Power k-Connected Subgraph (MPkCS) problem seeks a power (range) assignment to the nodes of a given wireless network such that the resulting communication (su...
Zeev Nutov
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 4 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
PODS
2008
ACM
250views Database» more  PODS 2008»
16 years 3 months ago
Approximating predicates and expressive queries on probabilistic databases
We study complexity and approximation of queries in an expressive query language for probabilistic databases. The language studied supports the compositional use of confidence com...
Christoph Koch