[Data] Quality Lies In The Eyes Of The Beholder

Author:

Pleimling Xavier1,Shah Vedant1,Lourentzou Ismini1

Affiliation:

1. Virginia Tech, United States

Publisher

ACM

Reference75 articles.

1. Jigsaw/Conversation AI. 2018. Toxic Comment Classification Challenge. https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data Jigsaw/Conversation AI. 2018. Toxic Comment Classification Challenge. https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data

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3. Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

4. Anant Bhardwaj Souvik Bhattacherjee Amit Chavan Amol Deshpande Aaron J Elmore Samuel Madden and Aditya G Parameswaran. 2014. DataHub: Collaborative Data Science & Dataset Version Management at Scale. arXiv preprint arXiv:1409.0798(2014). Anant Bhardwaj Souvik Bhattacherjee Amit Chavan Amol Deshpande Aaron J Elmore Samuel Madden and Aditya G Parameswaran. 2014. DataHub: Collaborative Data Science & Dataset Version Management at Scale. arXiv preprint arXiv:1409.0798(2014).

5. A Study of Machine Learning in Healthcare

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1. cuallee: A Python package for data quality checks across multiple DataFrame APIs;Journal of Open Source Software;2024-06-23

2. Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality;Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI;2024-04-14

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