Seasonal time series exploration using conditional probabilistic graphical approach.
Sumarsih Condroayu PurbaraniHadaiq Rolis SanabilaM. Anwar Ma'sumWisnu JatmikoPublished in: MHS (2017)
Keyphrases
- conditional probabilities
- bayesian networks
- probabilistic model
- short term
- chain graphs
- neural network
- generative model
- conditionally independent
- reinforcement learning
- long term
- data driven
- information visualization
- active exploration
- discrete valued
- continuous valued
- moving average
- probability theory
- sequential data
- uncertain data
- random variables
- probability distribution
- information retrieval