Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
We present a randomized strategy for maintaining balance in dynamically changing search trees that has optimal expected behavior. In particular, in the expected case a search or a...
With the increasing use of ontologies in Semantic Web and enterprise knowledge management, it is critical to develop scalable and efficient ontology management systems. In this pap...
Jian Zhou, Li Ma, Qiaoling Liu, Lei Zhang, Yong Yu...
Theories of rational belief revision recently proposed by Alchourron, Gardenfors, Makinson, and Nebel illuminate many important issues but impose unnecessarily strong standards fo...
Abstract. The database server is a crucial bottleneck in traditional inference control architecture, as it enforces highly computation-intensive auditing for all users who query th...