Ethical conceptual replication of visualization research considering sources of methodological bias and practical significance.
Ian T. RuginskiPublished in: CoRR (2020)
Keyphrases
- practical significance
- data sources
- information sources
- distributed databases
- information systems
- data analysis
- databases
- visualization tools
- data visualization
- fault tolerance
- multiple sources
- data partitioning
- knowledge structures
- interactive visualization
- range queries
- fault tolerant
- peer to peer
- response time
- multi source
- visualization tool
- information visualization
- neural network
- group communication
- data sets
- ethical issues