To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
The number of functional errors escaping design verification and being released into final silicon is growing, due to the increasing complexity and shrinking production schedules ...
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
XML database functionality has been emerging in "XML-only" databases as well as in the major relational database products. Yet, there is no industry standard XML databas...