Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Abstract: We present the live-representation approach for managing and working in complex, dynamic business processes. In this approach, aspects of business-process modeling, proje...
Daniel D. Corkill, Zachary B. Rubinstein, Susan E....
Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of b...
Recent research shows that the high occupancy of Coherence Controllers (CCs) is a major performance bottleneck in scalable shared-memory multiprocessors. In this paper, we propose...