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Overview and Importance of Data Quality for Machine Learning Tasks
2 references·11 citing·46 second hop
Overview and Importance of Data Quality for Machine Learning Tasks (2020)Overview and Importance of Data Quality f…How Data Science Workers Work with Data (2019)How Data Science Workers Work…Data Cleaning: Problems and Current Approaches. 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this work references cited by second hop

References

  • 2000Data Cleaning: Problems and Current Approaches.1,467 cited
  • 2019How Data Science Workers Work with Data262 cited

Cited by

  • 2021Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI109 cited
  • 2021Data quality challenges in large-scale cyber-physical systems: A systematic review68 cited
  • 2024Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems57 cited
  • 2025Exploring the Intersection of Machine Learning and Big Data: A Survey53 cited
  • 2023How (not to) Run an AI Project in Investigative Journalism38 cited
  • 2024A Framework for Current and New Data Quality Dimensions: An Overview33 cited
  • 2022Interrogating Data Work as a Community of Practice29 cited
  • 2021Credit Risk Analysis Applying Logistic Regression, Neural Networks and Genetic Algorithms Models23 cited
  • 2024Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia19 cited
  • 2024Computational Psychotherapy System for Mental Health Prediction and Behavior Change with a Conversational Agent17 cited
  • 2024Data-Driven Approaches for Accident Analysis in Sociochemical Systems11 cited

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