@inproceedings{570658a5d02f42b7892c4b4726995daf,
title = "Cleanix: A big data cleaning parfait",
abstract = "In this demo, we present Cleanix, a prototype system for cleaning relational Big Data. Cleanix takes data integrated from multiple data sources and cleans them on a shared-nothing machine cluster. The backend system is built on-top-of an extensible and flexible data-parallel substrate-the Hyracks framework. Cleanix supports various data cleaning tasks such as abnormal value detection and correction, incomplete data filling, de-duplication, and conflict resolution. We demonstrate that Cleanix is a practical tool that supports effective and efficient data cleaning at the large scale.",
author = "Hongzhi Wang and Mingda Li and Yingyi Bu and Jianzhong Li and Hong Gao and Jiacheng Zhang",
year = "2014",
month = nov,
day = "3",
doi = "10.1145/2661829.2661837",
language = "英语",
series = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery ",
pages = "2024--2026",
booktitle = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
address = "美国",
note = "23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",
}