Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.
Khalifeh AlJaddaMohammed KorayemCamilo OrtizTrey GraingerJohn A. MillerKhaled RasheedKrys J. KochutWilliam S. YorkRené RanzingerMelody P. PorterfieldPublished in: CoRR (2015)
Keyphrases
- hierarchical data
- probabilistic graphical models
- application to image segmentation
- graphical models
- scientific data
- data mining
- knowledge discovery
- first order logic
- databases
- markov networks
- approximate inference
- belief propagation
- web mining
- probabilistic inference
- temporal data
- random variables
- xml databases
- relational databases
- answering queries
- data analysis
- text mining
- latent variables
- xml documents
- xml data
- fuzzy measures
- exact inference