arrow
返回

QuERy

delete2015-11-01
delete0
PRE
AI
DOI:10.14778/2850583.2850587delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper explores an analysis-aware data cleaning architecture for a large class of SPJ SQL queries. In particular, we propose QuERy, a novel framework for integrating entity resolution (ER) with query processing. The aim of QuERy is to correctly and efficiently answer complex queries issued on top of dirty data. The comprehensive empirical evaluation of the proposed solution demonstrates its significant advantage in terms of efficiency over the traditional techniques for the given problem settings.
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

暂无期刊信息

机构

暂无机构信息
引用论文

引用论文

暂无论文信息