"Alice and the Caterpillar: A More Descriptive Null Model for Assessing ..."

Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato (2022)

> Home

Details and statistics

DOI: 10.1109/ICDM54844.2022.00052

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icdm/PretiMR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/PretiMR22
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato:
Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results. ICDM 2022: 418-427

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.