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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 7 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 9 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 6 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
SIGMOD
2007
ACM
159views Database» more  SIGMOD 2007»
16 years 6 months ago
Boosting topic-based publish-subscribe systems with dynamic clustering
We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to thos...
Tova Milo, Tal Zur, Elad Verbin
PODS
2006
ACM
156views Database» more  PODS 2006»
16 years 6 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern