In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical pheno...
This project is developing extended versions of RAIDs with low-power, and exploring novel energyefficient disk array architectures using coding techniques for data intensive compu...
OLAP (On-Line Analytical Processing) and Ranking are currently separate technologies in the database systems. OLAP emphasizes on efficient multidimensional data analysis and ranki...
The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe work in progress to explore its potential for the AMI project by appl...