Abstract Yossi Matias Je rey Scott Vitter y Neal E. Young z In this paper we introduce the notion of approximate data structures, in which a small amount of error is tolerated in...
The popularity of location-based services and the need to do real-time processing on them has led to an interest in performing queries on transportation networks, such as finding s...
We consider the problem of optimizing and executing multiple continuous queries, where each query is a conjunction of filters and each filter may occur in multiple queries. When f...
Kamesh Munagala, Utkarsh Srivastava, Jennifer Wido...
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...