"Mining for Gold: How to Predict Service Contract Performance with Optimal ..."

Sinem Güven et al. (2014)

> Home

Details and statistics

DOI: 10.1109/SCC.2014.49

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-24

- view
  authority control:
- export record
  dblp key:
  - conf/IEEEscc/GuvenSIPMV14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/IEEEscc/GuvenSIPMV14
Sinem Güven, Mathias Steiner, Tsuyoshi Idé, Amit M. Paradkar, Sergey Makogon, Alejandro Venegas:
Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data. IEEE SCC 2014: 315-322

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.