IDLat: An Importance-Driven Latent Generation Method for Scientific Data.
Jingyi ShenHaoyu LiJiayi XuAyan BiswasHan-Wei ShenPublished in: CoRR (2022)
Keyphrases
- scientific data
- generation method
- data management
- hierarchical data
- data collection
- scientific databases
- massive amounts of data
- scientific disciplines
- scientific data sets
- scientific data management
- scientific information
- life sciences
- geographically distributed
- biological pathways
- molecular dynamics
- evaluation campaigns
- bitmap indices
- databases
- scientific workflows
- drug discovery
- latent variables
- data sets
- temporal relationships
- climate data
- database systems
- real world