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» Distributed Approximation Algorithm for Resource Clustering
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156
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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 2 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
ICAIL
2005
ACM
15 years 7 months ago
Effective Document Clustering for Large Heterogeneous Law Firm Collections
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
WSC
2008
15 years 4 months ago
Dynamic entity distribution in parallel discrete event simulation
Event based simulations are an important scientific application in many fields. With the rise of cluster computing, distributed event simulation optimization becomes an essential ...
Michael Slavik, Imad Mahgoub, Ahmed Badi
126
Voted
ESANN
2004
15 years 3 months ago
Neural dynamics for task-oriented grouping of communicating agents
Abstract. Many real world problems are given in the form of multiple measurements comprising local descriptions or tasks. We propose that a dynamical organization of a population o...
Jochen J. Steil
EUROPAR
2007
Springer
15 years 8 months ago
Cooperation in Multi-organization Scheduling
The distributed nature of the grid results in the problem of scheduling parallel jobs produced by several independent organizations that have partial control over the system. We co...
Fanny Pascual, Krzysztof Rzadca, Denis Trystram