@inproceedings{ac74aa7e00b14c54afcc23a194f1152a,
title = "2nd International Workshop on Data Quality Assessment for Machine Learning",
abstract = "The 2nd International Workshop on Data Quality Assessment for Machine Learning (DQAML'21) is organized in conjunction with the Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). This workshop aims to serve as a forum for the presentation of research related to data quality assessment and remediation in AI/ML pipeline. Data quality is a critical issue in the data preparation phase and involves numerous challenging problems related to detection, remediation, visualization and evaluation of data issues. The workshop aims to provide a platform to researchers and practitioners to discuss such challenges across different modalities of data like structured, time series, text and graphical. The aim is to attract perspectives from both industrial and academic circles.",
keywords = "data assessment, data quality, machine learning",
author = "Hima Patel and Fuyuki Ishikawa and Laure Berti-Equille and Nitin Gupta and Sameep Mehta and Satoshi Masuda and Shashank Mujumdar and Shazia Afzal and Srikanta Bedathur and Yasuharu Nishi",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021 ; Conference date: 14-08-2021 Through 18-08-2021",
year = "2021",
month = aug,
day = "14",
doi = "10.1145/3447548.3469468",
language = "English",
series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
publisher = "Association for Computing Machinery",
pages = "4147--4148",
booktitle = "KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",
address = "United States",
}