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TKDE
2012
11 years 10 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
IFSA
2007
Springer
14 years 2 months ago
2007
Springer
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...