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Lack of data and data quality issues are among the main bottlenecks that prevent further artificial intelligence adoption within many organizations, pushing data scientists to spend most of their time cleaning data before being able to answer analytical questions.
On Approximating Optimum Repairs for Functional Dependency Violations
Kolahi, S., and Lakshmanan, L. V. S · 2009
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Probabilistic Graphical Models: Principles and Techniques
Koller, D., and Friedman, N · 2009
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ERACER: A Database Approach for Statistical Inference and Data Cleaning
Mayfield, C., Neville, J., and Prabhakar, S · 2010
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On the Relative Trust between Inconsistent Data and Inaccurate Constraints
Beskales, G., Ilyas, I. F., Golab, L., and Galiullin, A · 2013
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Discovering Denial Constraints
Chu, X., Ilyas, I. F., and Papotti, P · 2013
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Holistic Data Cleaning: Putting Violations into Context
Papotti, P., Chu, X., and Ilyas, I. F · 2013
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Don’t Be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes
Yakout, M., Berti-Équille, L., and Elmagarmid, A. K · 2013
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Data Profiling Revisited
Naumann, F · 2014
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Continuous Data Cleaning
Volkovs, M., Chiang, F., Szlichta, J., and Miller, R. J · 2014
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Zhang, C., and Ré, C · 2014
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Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms
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Trends in Cleaning Relational Data: Consistency and Deduplication
Ilyas, I. F., and Chu, X · 2015
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Incremental Knowledge Base Construction Using DeepDive
Shin, J., Wu, S., Wang, F., De Sa, C., Zhang, C., and Ré, C · 2015
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Detecting Data Errors: Where Are We and What Needs to Be Done?
Abedjan, Z., Chu, X., Deng, D., Fernandez, R. C., Ilyas, I. F., Ouzzani, M., Papotti, P., Stonebraker, M., and Tang, N · 2016
ActiveClean: Interactive Data Cleaning for Statistical Modeling
Krishnan, S., Wang, J., Wu, E., Franklin, M. J., and Goldberg, K · 2016
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TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
Baylor, D., Breck, E., Cheng, H.-T., Fiedel, N., Foo, C. Y., Haque, Z., Haykal, S., Ispir, M., Jain, V., Koc, L., Koo, C. Y., Lew, L., Mewald, C., Modi, A. N., Polyzotis, N., Ramesh, S., Roy, S., Whang, S. E., Wicke, M., Wilkiewicz, J., Zhang, X., and Zinkevich, M · 2017
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HoloClean: Holistic Data Repairs with Probabilistic Inference
Rekatsinas, T., Chu, X., Ilyas, I. F., and Ré, C · 2017
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A Survey on Data Collection for Machine Learning: A Big Data – AI Integration Perspective
Roh, Y., Heo, G., and Whang, S. E · 2018
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On Challenges in Machine Learning Model Management
Schelter, S., Biessmann, F., Januschowski, T., Salinas, D., Seufert, S., and Szarvas, G · 2018
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Effective Data Cleaning with Continuous Evaluation
Ilyas, I. F · 2016
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HoloDetect: Few-Shot Learning for Error Detection
Heidari, A., McGrath, J., Ilyas, I. F., and Rekatsinas, T · 2019
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Data Cleaning
Ilyas, I. F., and Chu, X · 2019
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