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"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data
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"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data (2018)"Deep" Learning for Missing Value Imputat…Probabilistic demand forecasting at scale (2017)Probabilistic demand forecast…HoloClean (2017)HoloCleanData Management Challenges in Production Machine Learning (2017)Data Management Challenges in…NADEEF (2013)NADEEFGuided data repair (2011)Guided data repairMeasuring Fairness of Rankings under Noisy Sensitive Information (2022)Measuring Fairness of Ranking…The two types of society: Computationally revealing recurrent social formations and their evolutionary trajectories (2020)The two types of society: Com…Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms (2020)Spatiotemporal Filtering Pipe…Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)Duplicate Record Detection: A Survey (2006)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Data quality: The other face of Big Data (2014)KATARA (2015)Magellan (2016)Potter's Wheel: An Interactive Data Cleaning System (2001)Interactive deduplication using active learning (2002)Data Quality : Concepts, Methodologies and Techniques (2006)Towards certain fixes with editing rules and master data (2010)Big data challenge: a data management perspective (2013)Data Cleaning (2019)Data Cleaning: Problems and Current Approaches. (2000)Automating large-scale data quality verification (2018)A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2019)On the Opportunities and Risks of Foundation Models (2021)Forecasting: Methods and Applications. (1979)Forecasting methods and applications (1993)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Neural forecasting: Introduction and literature overview. (2020)Forecasting with trees (2021)MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model (2025)Theory of Culture Change: The Methodology of Multilinear Evolution. (1956)The Evolution of Political Society: An Essay in Political Anthropology (1967)Theory of culture change: The methodology of multilinear evolution (1978)Advances in Social Media Research: Past, Present and Future (2017)Fake News Detection on Social Media (2017)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)A Survey on Bias and Fairness in Machine Learning (2021)Fairness in Search Systems (2024)Data collection and quality challenges for deep learning (2020)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)
this work references cited by second hop

References

  • 2017HoloClean477 cited
  • 2013NADEEF313 cited
  • 2011Guided data repair224 cited
  • 2017Data Management Challenges in Production Machine Learning214 cited
  • 2017Probabilistic demand forecasting at scale126 cited

Cited by

  • 2022Measuring Fairness of Rankings under Noisy Sensitive Information14 cited
  • 2020The two types of society: Computationally revealing recurrent social formations and their evolutionary trajectories8 cited
  • 2020Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms3 cited

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