Analytics of Business Time Series Using Machine Learning and Bayesian Inference.
Bohdan M. PavlyshenkoPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- machine learning
- business intelligence
- data mining
- statistical inference
- probabilistic model
- big data
- business decisions
- prior information
- data analysis
- hyperparameters
- bayesian model
- variational inference
- unstructured data
- unstructured information
- hierarchical bayesian
- gibbs sampler
- business analytics
- variational bayes
- data analytics
- predictive modeling
- machine learning methods
- predictive analytics
- text mining
- non stationary
- particle filter
- data warehouse
- information extraction
- decision trees
- business processes
- markov chain monte carlo
- decision making
- learning analytics
- expectation propagation
- hidden variables
- statistical learning
- knowledge management
- learning algorithm
- bayesian models
- regression model
- graphical models
- knowledge discovery
- weighted model counting