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» Troubleshooting Distributed Systems via Data Mining
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DATAMINE
1999
113views more  DATAMINE 1999»
13 years 9 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
14 years 1 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
CCS
2006
ACM
14 years 1 months ago
Scalable group communication system for scalable trust
Programmers of large-scale trusted systems need tools to simplify tasks such as replicating services or data. Group communication systems achieve this via various flavors of relia...
Krzysztof Ostrowski, Kenneth P. Birman
MFCS
1994
Springer
14 years 1 months ago
A Proof System for Asynchronously Communicating Deterministic Processes
We introduce in this paper new communication and synchronization constructs which allow deterministic processes, communicating asynchronously via unbounded FIFO bu ers, to cope wi...
Frank S. de Boer, M. van Hulst
GLOBECOM
2006
IEEE
14 years 3 months ago
Bayesian Data Fusion for Asynchronous DS-CDMA Sensor Networks in Rayleigh Fading
Abstract— In this paper, we propose asynchronous non-orthogonal communication between distributed sensors and a data fusion center via asynchronous direct-sequence code-division ...
Justin S. Dyer, Balasubramaniam Natarajan, Sudharm...