IDLat: An Importance-Driven Latent Generation Method for Scientific Data.
Jingyi ShenHaoyu LiJiayi XuAyan BiswasHan-Wei ShenPublished in: IEEE Trans. Vis. Comput. Graph. (2023)
Keyphrases
- scientific data
- generation method
- data management
- data collection
- scientific databases
- life sciences
- scientific information
- massive amounts of data
- hierarchical data
- scientific data sets
- scientific disciplines
- high energy physics
- scientific data management
- association patterns
- latent variables
- geographically distributed
- scientific workflows
- bitmap indices
- evaluation campaigns
- database systems
- bitmap indexes
- biological pathways
- data structure