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» A Comparative Evaluation of Name-Matching Algorithms
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PRL
2006
139views more  PRL 2006»
15 years 4 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
The effect of user interaction mechanisms in multi-objective IGA
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The inte...
Alexandra Melike Brintrup, Hideyuki Takagi
122
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EC
2010
133views ECommerce» more  EC 2010»
15 years 4 months ago
Interactive EC Control of Synthesized Timbre
Perhaps the biggest limitation of interactive EC is the fitness evaluation bottleneck, caused by slow user evaluation and leading to small populations and user fatigue. In this st...
James McDermott, Michael O'Neill, Niall J. L. Grif...
EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 4 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
15 years 11 months ago
Orca Reduction and ContrAction Graph Clustering
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
Daniel Delling, Robert Görke, Christian Schul...