Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Current on-chip block-centric memory hierarchies exploit access patterns at the fine-grain scale of small blocks. Several recently proposed techniques for coherence traffic reduct...
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
The identification and management of work dependencies is a fundamental challenge in software development organizations. This paper argues that modularization, the traditional tec...
Marcelo Cataldo, James D. Herbsleb, Kathleen M. Ca...
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...