With the need to make sense out of large and constantly growing information spaces, tools to support information management are becoming increasingly valuable. In prior work we pr...
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
We describe the objectives and organization of the CLEF 2007 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual and cross-language textual d...
Giorgio Maria Di Nunzio, Nicola Ferro, Thomas Mand...
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...