Today's query processing engines do not take advantage of the multiple occurrences of a relation in a query to improve performance. Instead, each instance is treated as a dis...
Yu Cao, Gopal C. Das, Chee Yong Chan, Kian-Lee Tan
We present an adaptive distributed query-sampling framework that is quality-conscious for extracting high-quality text database samples. The framework divides the query-based samp...
XML stream processing has recently become popular for many applications such as selective dissemination of information. Several approaches have been proposed and most of them are ...
The aim of this work is to provide a robust way for peers with heterogeneous data sources to exchange information in an unreliable network. We address this problem in two ways. Fi...
Abstract: The possibility of disconnection is one of the fundamental new networking problems presented by sensor networks. The goal of this paper is to address the problem of resul...