Integration of e-Science and Grid technologies into curriculum teaching is currently an ambitious aim for teachers and school infrastructures to organise. However, it can expose c...
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Background: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential st...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
The early architectural design stage is a typical example where traditional design tools such as sketching on paper still dominate over computer-assisted tools. Augmented reality ...