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ICANNGA
2009
Springer
133views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Visualizing Time Series State Changes with Prototype Based Clustering
Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
Markus Pylvänen, Sami Äyrämö, ...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
16 years 4 days ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
NPC
2004
Springer
16 years 3 days ago
Request Distribution for Fairness with a New Load-Update Mechanism in Web Server Cluster
The complexity of services and applications provided by Web sites is ever increasing as integration of traditional Web publishing sites with new paradigms, i.e., e-commerce. Each d...
MinHwan Ok, Myong-Soon Park
HPDC
2000
IEEE
15 years 11 months ago
Distributed Processor Allocation in Large PC Clusters
Current processor allocation techniques for highly parallel systems are based on centralized front-end based algorithms. As a result, the applied strategies are restricted to stat...
Hans-Ulrich Heiss, César A. F. De Rose, Phi...
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 11 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates