SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Hybrid Data Cleaning Framework Using Markov Logic Networks
16 references·0 citing·26 second hop
A Hybrid Data Cleaning Framework Using Markov Logic Networks (2020)A Hybrid Data Cleaning Framework Using Ma…HoloDetect (2019)HoloDetectHoloClean (2017)HoloCleanData Cleaning (2016)Data CleaningKATARA (2015)KATARABigDansing (2015)BigDansingThe LLUNATIC data-cleaning framework (2013)The LLUNATIC data-cleaning fr…NADEEF (2013)NADEEFHolistic data cleaning: Putting violations into context (2013)Holistic data cleaning: Putti…Don't be SCAREd (2013)Don't be SCAREdCrowdER (2012)CrowdERTowards certain fixes with editing rules and master data (2011)Towards certain fixes with ed…ERACER (2010)ERACERReasoning about record matching rules (2009)Reasoning about record matchi…Conditional functional dependencies for capturing data inconsistencies (2008)Conditional functional depend…Conditional Functional Dependencies for Data Cleaning (2007)Conditional Functional Depend…A cost-based model and effective heuristic for repairing constraints by value modification (2005)A cost-based model and effect…A Theory for Record Linkage (1969)Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida (1989)Duplicate Record Detection: A Survey (2006)Towards certain fixes with editing rules and master data (2010)Guided data repair (2011)Data Cleaning (2019)Potter's Wheel: An Interactive Data Cleaning System (2001)String similarity search and join: a survey (2015)Detecting data errors (2016)CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks (2021)Data Quality : Concepts, Methodologies and Techniques (2006)Data quality: The other face of Big Data (2014)Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Magellan (2016)Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm (1979)Adaptive duplicate detection using learnable string similarity measures (2003)Deep entity matching with pre-trained language models (2020)Data Cleaning: Problems and Current Approaches. (2000)Discovering data quality rules (2008)Foundations of Data Quality Management (2012)A comparison of string distance metrics for name-matching tasks (2003)Data quality in internet of things: A state-of-the-art survey (2016)Automating large-scale data quality verification (2018)REFORMS: Consensus-based Recommendations for Machine-learning-based Science (2024)Can Foundation Models Wrangle Your Data? (2022)
this work references cited by second hop

References

  • 2012CrowdER507 cited
  • 2016Data Cleaning488 cited
  • 2017HoloClean477 cited
  • 2008Conditional functional dependencies for capturing data inconsistencies459 cited
  • 2005A cost-based model and effective heuristic for repairing constraints by value modification431 cited
  • 2007Conditional Functional Dependencies for Data Cleaning379 cited
  • 2013Holistic data cleaning: Putting violations into context331 cited
  • 2013NADEEF313 cited
  • 2015KATARA279 cited
  • 2009Reasoning about record matching rules226 cited
  • 2013The LLUNATIC data-cleaning framework180 cited
  • 2010ERACER173 cited
  • 2015BigDansing152 cited
  • 2013Don't be SCAREd150 cited
  • 2019HoloDetect133 cited
  • 2011Towards certain fixes with editing rules and master data128 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work