Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh. Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. In John F. Elder IV, Françoise Fogelman-Soulié, Peter Flach, Mohammed Zaki, editors, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. pages 1115-1124, ACM, 2009. [doi]
@inproceedings{DaruruMWG09,
title = {Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data},
author = {Srivatsava Daruru and Nena M. Marin and Matt Walker and Joydeep Ghosh},
year = {2009},
doi = {10.1145/1557019.1557140},
url = {http://doi.acm.org/10.1145/1557019.1557140},
tags = {data-flow},
researchr = {https://researchr.org/publication/DaruruMWG09},
cites = {0},
citedby = {0},
pages = {1115-1124},
booktitle = {Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009},
editor = {John F. Elder IV and Françoise Fogelman-Soulié and Peter Flach and Mohammed Zaki},
publisher = {ACM},
isbn = {978-1-60558-495-9},
}