( en | de | ru )

 

Disambiguation of "Embury, Suzanne M."

Author of the publication

copydeleteadd this publication to your clipboard
Amplifying Data Curation Efforts to Improve the Quality of Life Science Data.

, , and . Int. J. Digit. Curation, 12 (1): 1-12 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Suzanne Bontemps

Suzanne Perz

Suzanne Adang

Suzanne Legg

Suzanne Mann

 

Other publications of authors with the same name

Non-Intrusive Assessment of Organizational Data Quality., and . IQ, page 398-411. MIT, (2001)The Evolving Role of Constraints in the Functional Data Model., , , and . J. Intell. Inf. Syst., 12 (2-3): 113-137 (1999)Exploratory Design of Derivation Business Rules Using Query Rewriting., , and . SEKE, page 467-472. Knowledge Systems Institute Graduate School, (2007)Reducing Disruption in Time-Tabled Condition Monitoring., and . IICIS, volume 140 of IFIP, page 159-176. Springer, (2003)Planning Complex Updates to Satisfy Constraint Rules Using a Constraint Logic Search Engine., and . Rules in Database Systems, volume 985 of Lecture Notes in Computer Science, page 230-244. Springer, (1995)Diagnosing faults in embedded queries in database applications., and . EDBT/ICDT Workshops, page 239-244. ACM, (2012)Feedback-based annotation, selection and refinement of schema mappings for dataspaces., , , , and . EDBT, volume 426 of ACM International Conference Proceeding Series, page 573-584. ACM, (2010)Data Access and Integration in the ISPIDER Proteomics Grid., , , , , , , , , and . DILS, volume 4075 of Lecture Notes in Computer Science, page 3-18. Springer, (2006)Assessing Impacts of Changes to Business Rules through Data Exploration., , and . ICSEA, page 21. IEEE Computer Society, (2006)Database Workload Capacity Planning using Time Series Analysis and Machine Learning., , , , and . SIGMOD Conference, page 769-783. ACM, (2020)