"Grounded Theory-Driven Knowledge Production Features Mining: One Empirical ..."

Hao Xu et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-981-99-3300-6_35

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/icbds/XuLWPC0L22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icbds/XuLWPC0L22
Hao Xu, Yiyang Li, Mulan Wang, Yufang Peng, Qinwei Chen, Pengcheng Liu, Yijing Li:
Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology. ICBDS 2022: 493-511

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.