Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue

Jose Picado, Arash Termehchy, Sudhanshu Pathak. Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue. In Sebastian Schelter, Stephan Seufert, Arun Kumar, editors, Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, DEEM@SIGMOD 2018, Houston, TX, USA, June 15, 2018. ACM, 2018. [doi]

@inproceedings{PicadoTP18,
  title = {Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the Rescue},
  author = {Jose Picado and Arash Termehchy and Sudhanshu Pathak},
  year = {2018},
  doi = {10.1145/3209889.3209899},
  url = {http://doi.acm.org/10.1145/3209889.3209899},
  researchr = {https://researchr.org/publication/PicadoTP18},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, DEEM@SIGMOD 2018, Houston, TX, USA, June 15, 2018},
  editor = {Sebastian Schelter and Stephan Seufert and Arun Kumar},
  publisher = {ACM},
}