Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Preserving digital information over the long term becomes increasing important for large number of institutions. The required expertise and limited tool support discourage especial...
Stephan Strodl, Petar Petrov, Michael Greifeneder,...
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...
Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively few efforts ...