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A new data science research program: evaluation, metrology, standards, and community outreach
12 references·1 citing·28 second hop
A new data science research program: evaluation, metrology, standards, and community outreach (2016)A new data science research program: eval…The NIST data science initiative (2015)The NIST data science initiat…Evaluation without ground truth in social media research (2015)Evaluation without ground tru…Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (2014)Predictive Analytics, Data Mi…Predictive Analytics, Data Mining and Big Data (2014)Predictive Analytics, Data Mi…A Novel Metadata Standard for Multimedia Preservation. (2014)A Novel Metadata Standard for…Entity resolution (2012)Entity resolutionData Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (2012)Data Matching: Concepts and T…Data Matching (2012)Data MatchingPreliminary Digital Preservation Interoperability Framework (DPIF) Results (2010)Preliminary Digital Preservat…Advanced Digital Image Preservation Data Management Architecture (2009)Advanced Digital Image Preser…A survey of data provenance in e-science (2005)A survey of data provenance i…Data Provenance: Some Basic Issues (2000)Data Provenance: Some Basic I…Evaluation-driven research in data science: Leveraging cross-field methodologies (2016)Evaluation-driven research in…A Theory for Record Linkage (1969)The merge/purge problem for large databases (1995)A comparison of string distance metrics for name-matching tasks (2003)An Overview of End-to-End Entity Resolution for Big Data (2020)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Methodological Gaps in Predicting Mental Health States from Social Media (2019)Misinformation in Social Media (2019)An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web (2020)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Developmental Evaluation (1994)Big data and its technical challenges (2014)The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness (2015)Matching and Record Linkage (1995)A note on using the F-measure for evaluating record linkage algorithms (2017)User Identity Linkage across Online Social Networks (2017)A survey of data provenance techniques (2005)Handling big data: research challenges and future directions (2016)Designing a multi-sided data platform: findings from the International Data Spaces case (2019)A survey of trust in computer science and the Semantic Web (2007)Provenance for Computational Tasks: A Survey (2008)The Open Provenance Model core specification (v1.1) (2010)The Data Science Era (2018)Machine Learning at Central Banks (2017)Big Data, Predictive Analytics and Machine Learning (2018)Preserving the rule of law in the era of artificial intelligence (AI) (2021)Big data and predictive analytics applications in supply chain management (2016)Digital Human Sciences: New Objects – New Approaches (2021)The political imaginary of National AI Strategies (2021)
this work references cited by second hop

References

  • 2005A survey of data provenance in e-science1,156 cited
  • 2012Data Matching745 cited
  • 2012Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection598 cited
  • 2012Entity resolution352 cited
  • 2000Data Provenance: Some Basic Issues244 cited
  • 2014Predictive Analytics, Data Mining and Big Data87 cited
  • 2014Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods63 cited
  • 2015Evaluation without ground truth in social media research40 cited
  • 2015The NIST data science initiative11 cited
  • 2014A Novel Metadata Standard for Multimedia Preservation.3 cited
  • 2009Advanced Digital Image Preservation Data Management Architecture2 cited
  • 2010Preliminary Digital Preservation Interoperability Framework (DPIF) Results2 cited

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  • 2016Evaluation-driven research in data science: Leveraging cross-field methodologies7 cited

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