Mining massive hierarchical data using a scalable probabilistic graphical model.
Khalifeh AlJaddaMohammed KorayemCamilo OrtizTrey GraingerJohn A. MillerKhaled RasheedKrys J. KochutHao PengWilliam S. YorkRené RanzingerMelody P. PorterfieldPublished in: Inf. Sci. (2018)
Keyphrases
- hierarchical data
- probabilistic graphical models
- graphical models
- application to image segmentation
- scientific data
- relational databases
- text mining
- first order logic
- web mining
- probabilistic inference
- approximate inference
- xml databases
- frequent patterns
- database
- belief propagation
- knowledge discovery
- probabilistic model
- data analysis
- random variables
- answering queries
- artificial intelligence