Research Program: Data quality, utility, and diversity.
Andrea H. RamirezLina M. SuliemanDavid J. SchlueterAlese E. HalvorsonJun QianFrancis RatsimbazafyRoxana Loperena-CortesKelsey R. MayoMelissa A. BasfordNicole DeflauxKarthik MuthuramanKarthik NatarajanAbel N. KhoHua XuConsuelo H. WilkinsHoda Anton-CulverEric BoerwinkleMine CicekCheryl R. ClarkElizabeth CohnLucila Ohno-MachadoSheri D. SchullyBrian K. AhmedaniMaria ArgosRobert M. CroninChristopher J. O'DonnellMona FouadDavid B. GoldsteinPhilip GreenlandScott J. HebbringElizabeth W. KarlsonParinda KhatriBruce KorfJordan W. SmollerStephen SodekeJohn WilbanksJustin HentgesStephen MockrinChristopher LuntStephanie A. DevaneyKelly GeboJoshua C. DennyRobert J. CarrollDavid GlazerPaul A. HarrisGeorge HripcsakAnthony PhilippakisDan M. RodenPublished in: Patterns (2022)
Keyphrases
- data quality
- quality management
- data cleaning
- data confidentiality
- data warehouse
- data cleansing
- poor quality
- data preparation
- information loss
- data privacy
- quality assessment
- cell suppression
- sensitive attributes
- machine learning
- error correction
- data processing
- privacy preservation
- data transformation
- association rules
- real world
- databases
- database