"From data to information: automating data science to explore the U.S. ..."

Andrew Paley et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3462757.3466100

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icail/PaleyZPSASPSBEH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icail/PaleyZPSASPSBEH21
Andrew Paley, Andong L. Li Zhao, Harper Pack, Sergio Servantez, Rachel F. Adler, Marko Sterbentz, Adam R. Pah, David L. Schwartz, Cameron Barrie, Alexander Einarsson, Kristian J. Hammond:
From data to information: automating data science to explore the U.S. court system. ICAIL 2021: 119-128

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.