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ICSE
1999
IEEE-ACM
14 years 27 days ago
Identifying Objects Using Cluster and Concept Analysis
Many approaches to support (semi-automatic) identification of objects in legacy code take the data structures as starting point for candidate classes. Unfortunately, legacy data ...
Arie van Deursen, Tobias Kuipers
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 8 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
ADMI
2010
Springer
13 years 10 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
FGCS
2002
153views more  FGCS 2002»
13 years 8 months ago
HARNESS fault tolerant MPI design, usage and performance issues
Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to suppor...
Graham E. Fagg, Jack Dongarra
ICPPW
2003
IEEE
14 years 1 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta