Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data

Sinem Guven, Mathias Steiner, Tsuyoshi Idé, Amit Paradkar, Sergey Makogon, Alejandro Venegas. Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data. In IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27 - July 2, 2014. pages 315-322, IEEE, 2014. [doi]

@inproceedings{GuvenSIPMV14,
  title = {Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data},
  author = {Sinem Guven and Mathias Steiner and Tsuyoshi Idé and Amit Paradkar and Sergey Makogon and Alejandro Venegas},
  year = {2014},
  doi = {10.1109/SCC.2014.49},
  url = {http://dx.doi.org/10.1109/SCC.2014.49},
  researchr = {https://researchr.org/publication/GuvenSIPMV14},
  cites = {0},
  citedby = {0},
  pages = {315-322},
  booktitle = {IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27 - July 2, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5065-2},
}