In the recent years, there have been a large amount of investigations on safety verification of uncertain continuous systems. In engineering and applied mathematics, this verificat...
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
In order to understand the evolution of online identities, we measured the correlation between past and current representations of self on the MySpace social network. We applied s...
Feature-oriented traceability is essential for efficient Software Product Line (SPL) development, including product derivation and SPL evolution. Widely-used feature based method ...
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...