A Novel Update Propagation Module for the Data Provenance Problem: A Contemplating Vision on Realizing Data Provenance from Models to Storage

Abed Elhamid Lawabni, Changjin Hong, David Hung-Chang Du, Ahmed H. Tewfik. A Novel Update Propagation Module for the Data Provenance Problem: A Contemplating Vision on Realizing Data Provenance from Models to Storage. In 22nd IEEE / 13th NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2005), Information Retrieval from Very Large Storage Systems, CD-ROM, 11-14 April 2005, Monterey, CA, USA. pages 61-69, IEEE Computer Society, 2005. [doi]

@inproceedings{LawabniHDT05,
  title = {A Novel Update Propagation Module for the Data Provenance Problem: A Contemplating Vision on Realizing Data Provenance from Models to Storage},
  author = {Abed Elhamid Lawabni and Changjin Hong and David Hung-Chang Du and Ahmed H. Tewfik},
  year = {2005},
  doi = {10.1109/MSST.2005.2},
  url = {http://doi.ieeecomputersociety.org/10.1109/MSST.2005.2},
  tags = {data-flow},
  researchr = {https://researchr.org/publication/LawabniHDT05},
  cites = {0},
  citedby = {0},
  pages = {61-69},
  booktitle = {22nd IEEE / 13th NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2005), Information Retrieval from Very Large Storage Systems, CD-ROM, 11-14 April 2005, Monterey, CA, USA},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-2318-8},
}