In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
With increasing IC process variation and increased operating speed, it is more likely that even subtle defects will lead to the malfunctioning of a circuit. Various fault models, ...
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Abstract. We describe how CSP-OZ, an integrated formal method combining the process algebra CSP with the specification language Object-Z, can be linked to standard software engine...