@inproceedings{41e5f4694fcc44598e10331f63074c4a,
title = "Aggregate query processing on incomplete data",
abstract = "Incomplete data has been a longstanding issue in database community, and yet the subject is poorly handled by both theory and practice. In this paper, we propose to directly estimate the aggregate query result on incomplete data, rather than imputing the missing values. An interval estimation, composed of the upper and lower bound of aggregate query results among all possible interpretation of missing values, are presented to the end-users. The ground-truth aggregate result is guaranteed to be among the interval. Experimental results are consistent with the theoretical results, and suggest that the estimation is invaluable to better assess the results of aggregate queries on incomplete data.",
keywords = "Aggregate query, Estimation, Incomplete data",
author = "Anzhen Zhang and Jinbao Wang and Jianzhong Li and Hong Gao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018 ; Conference date: 23-07-2018 Through 25-07-2018",
year = "2018",
doi = "10.1007/978-3-319-96890-2\_24",
language = "英语",
isbn = "9783319968896",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "286--294",
editor = "Jianliang Xu and Yoshiharu Ishikawa and Yi Cai",
booktitle = "Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Proceedings",
address = "德国",
}