Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems

Daniel R. Jeske, Behrokh Samadi, Pengyue J. Lin, Lan Ye, Sean Cox, Rui Xiao, Ted Younglove, Minh Ly, Douglas Holt, Ryan Rich. Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems. In Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett, editors, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005. pages 756-762, ACM, 2005. [doi]

@inproceedings{JeskeSLYCXYLHR05,
  title = {Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems},
  author = {Daniel R. Jeske and Behrokh Samadi and Pengyue J. Lin and Lan Ye and Sean Cox and Rui Xiao and Ted Younglove and Minh Ly and Douglas Holt and Ryan Rich},
  year = {2005},
  doi = {10.1145/1081870.1081969},
  url = {http://doi.acm.org/10.1145/1081870.1081969},
  tags = {discovery, data-flow},
  researchr = {https://researchr.org/publication/JeskeSLYCXYLHR05},
  cites = {0},
  citedby = {0},
  pages = {756-762},
  booktitle = {Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005},
  editor = {Robert Grossman and Roberto J. Bayardo and Kristin P. Bennett},
  publisher = {ACM},
  isbn = {1-59593-135-X},
}