A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis.
Tianle WangSudip K. SealRamakrishnan KannanCristina Garcia-CardonaThomas ProffenShantenu JhaPublished in: IPDPS Workshops (2023)
Keyphrases
- machine learning
- data analysis
- data mining
- text mining
- knowledge discovery
- decision trees
- learning algorithm
- multi aspect
- shared memory
- business processes
- data collection
- rough set theory
- computational intelligence
- machine learning methods
- business process
- machine learning algorithms
- graphical display
- high dimensional data
- parallel processing
- data visualization
- massively parallel
- active learning
- computer science
- pattern recognition
- business intelligence
- support vector machine
- learning tasks
- parallel implementation
- workflow management systems
- reinforcement learning
- artificial intelligence
- computer vision
- control flow
- virtual enterprise
- computer architecture
- explanation based learning
- parallel computing
- machine learning approaches
- biological data
- rough sets
- petri net
- text classification
- data processing