A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem.
Imad SassiSamir AnterAbdelkrim BekkhouchaPublished in: J. Big Data (2021)
Keyphrases
- hidden markov models
- big data
- constraint satisfaction problems
- constraint satisfaction
- cloud computing
- constraint propagation
- data analysis
- constraint programming
- data management
- big data analytics
- social media
- business intelligence
- np complete
- data processing
- conditional random fields
- search space
- speech recognition
- hidden states
- semi supervised
- knowledge discovery
- np hard
- partial constraint satisfaction
- information processing
- databases
- data warehousing
- continuous hidden markov models
- text mining
- reinforcement learning
- database systems