"An interpretable machine learning methodology to generate interaction ..."

Murtaza Nasir et al. (2024)

> Home

Details and statistics

DOI: 10.1111/DECI.12642

access: closed

type: Journal Article

metadata version: 2025-01-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/dsj/NasirSSO24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/dsj/NasirSSO24
Murtaza Nasir, Nichalin S. Summerfield, Serhat Simsek, Asil Oztekin:
An interpretable machine learning methodology to generate interaction effect hypotheses from complex datasets. Decis. Sci. 55(6): 549-576 (2024)

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.