@inproceedings{e8511ea8991244a7abbfb691231c5635,
title = "CrowdCleaner: A data cleaning system based on crowdsourcing",
abstract = "As data in real life is often dirty, data cleaning is a natural way to improve the data quality. However, due to the lack of human knowledge, existing automatic data cleaning systems cannot find the proper values for dirty data. Thus we propose an online data cleaning system CrowdCleaner based on Crowdsourcing. CrowdCleaner provides a friendly interface for users dealing with different data quality problems. In this demonstration, we show the architecture of CrowdCleaner and highlight a few of its key features. We will show the process of the CrowdCleaner to clean data.",
keywords = "Data cleaning, crowdsourcing, truth discovery",
author = "Chen Ye and Hongzhi Wang and Keli Li and Qian Chen and Jianhua Chen and Jiangduo Song and Weidong Yuan",
year = "2014",
doi = "10.1007/978-3-319-11116-2\_64",
language = "英语",
isbn = "9783319111155",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "657--661",
booktitle = "Web Technologies and Applications - 16th Asia-Pacific Web Conference, APWeb 2014, Proceedings",
address = "德国",
note = "16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014 ; Conference date: 05-09-2014 Through 07-09-2014",
}