Data Provenance
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-319-32010-6_58
Reference4 articles.
1. Agrawal, R., Imran, A., Seay, C., & Walker, J. (2014, October). A layer based architecture for provenance in big data. In Big Data (Big Data), 2014 I.E. international conference on (pp. 1–7), IEEE.
2. Glavic, B. (2014). Big data provenance: Challenges and implications for benchmarking. In Specifying big data benchmarks (pp. 72–80). Berlin/Heidelberg: Springer.
3. Hasan, R., Sion, R., & Winslett, M. (2007, October). Introducing secure provenance: Problems and challenges. In Proceedings of the 2007 ACM workshop on storage security and survivability (pp. 13–18), ACM.
4. Wang, J., Crawl, D., Purawat, S., Nguyen, M., & Altintas, I. (2015, October). Big data provenance: Challenges, state of the art and opportunities. In Big Data (Big Data), 2015 I.E. international conference on (pp. 2509–2516), IEEE.
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