CHAPMAN, Adriane, LAURO, Luca, MISSIER, Paolo und TORLONE, Riccardo, 2024. Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. ACM Transactions on Database Systems. 1 Juni 2024. Vol. 49, no. 2, p. 1-42. DOI 10.1145/3644385.
Elsevier - Harvard (with titles)Chapman, A., Lauro, L., Missier, P., Torlone, R., 2024. Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. ACM Transactions on Database Systems 49, 1-42. https://doi.org/10.1145/3644385
American Psychological Association 7th editionChapman, A., Lauro, L., Missier, P., & Torlone, R. (2024). Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. ACM Transactions on Database Systems, 49(2), 1-42. https://doi.org/10.1145/3644385
Springer - Basic (author-date)Chapman A, Lauro L, Missier P, Torlone R (2024) Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance.. ACM Transactions on Database Systems 49:1-42. https://doi.org/10.1145/3644385
Juristische Zitierweise (Stüber) (Deutsch)Chapman, Adriane/ Lauro, Luca/ Missier, Paolo/ Torlone, Riccardo, Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance., ACM Transactions on Database Systems 2024, 1-42.