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MLDM
2005
Springer
16 years 1 days ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
FOCS
2000
IEEE
15 years 11 months ago
Optimization Problems in Congestion Control
One of the crucial elements in the Internet’s success is its ability to adequately control congestion. This paper defines and solves several optimization problems related to In...
Richard M. Karp, Elias Koutsoupias, Christos H. Pa...
HICSS
1999
IEEE
87views Biometrics» more  HICSS 1999»
15 years 11 months ago
Telecommuting: Does it Work in the Long Term?
While there is considerable literature reporting the results of studies of benefits and problems associated with telecommuting, there is little longitudinal research available add...
Geoffrey Dick, Ian Duncanson
IFIP12
2004
15 years 8 months ago
An Interactive Multicriteria Optimisation Approach to Scheduling
Scheduling problems overall assume that it is possible to identify stable criteria definitions measuring the quality of alternatives. In real world problems however, this does not ...
Martin Josef Geiger, Sanja Petrovic
DSN
2007
IEEE
15 years 10 months ago
Performability Models for Multi-Server Systems with High-Variance Repair Durations
We consider cluster systems with multiple nodes where each server is prone to run tasks at a degraded level of service due to some software or hardware fault. The cluster serves t...
Hans-Peter Schwefel, Imad Antonios