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Nowadays, machine learning (ML) plays a vital role in many aspects of our daily life.
Baran: Effective error correction via a unified context representation and transfer learning
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Katara: A data cleaning system powered by knowledge bases and crowdsourcing. In Proceedings of the 2015 ACM SIGMOD international conference on management of data . ACM, 1247–1261
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XGBoost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’16) . ACM, New York, NY, USA, 785–794
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FAHES: A robust disguised missing values detector. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . ACM, 2100–2109
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Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. In 2018 IEEE International Geoscience and Remote Sensing Symposium . IEEE, Valencia, Spain, 6151–6154
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Optuna: A next-generation hyperparameter optimization framework. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . ACM, USA, 2623–2631
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DataWig: Missing Value Imputation for Tables
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Holodetect: Few-shot learning for error detection. In Proceedings of the 2019 International Conference on Management of Data . ACM, 829–846
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A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance
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How to Create a Business Case for Data Quality Improvement
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Confident Learning: Estimating Uncertainty in Dataset Labels
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Water Treatment Plant Dataset
Javier Bejar and Ulises Cortes. 1993 · 2022
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Smart Factory: High Storage System Data for Energy Optimization
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The Magellan Data Repository
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Individual household electric power consumption
Alice Berard Georges Hebrail. 2012 · 2022
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Hugo Mathien. 2016 · 2022
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3D Printer Dataset for Mechanical Engineers
Ahmet Okudan. 2019 · 2022
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Learning from noisy labels with deep neural networks: A survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee. 2022 · 2022
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Nasa Airfoil Self-Noise Dataset
D. Stuart Pope Thomas F. Brooks and Michael A. Marcolini. 2014 · 2022
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