Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies...
MIWeb realizes a mediator-based integration of heterogeneous metadata sources over the Web. Mediators are well known from database integration. They improve the quality of search ...
Abstract Medical data sets consist of a huge amount of data organized in instances, where each one contains several attributes. The quality of the models obtained from a database s...
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...