Resources
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Tutorials
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User guide
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Case studies
- Production optimisation through feedback analysis
- Satisfaction questionnaire analysis
- Health trajectory analysis
- Biocomputing transcriptome analysis
- Risk analysis and security policy
- Cyber-crimes detection
- Customer characterization, development of profiles
- Organization name identification
- Implementation of a Bayesian score
- Modeling and simulation of dynamic systems
- Consumer segmentation
- Salmonella isolation
- Political Analysis
- Studying consumer drivers
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Resources
BayesiaLab in action: software presentations
- Bayesialab's introductory presentation Discover the world of the Bayesian networks with this first presentation of BayesiaLab.
- Analysis toolbox Bayesian networks are naturally legibles. BayesiaLab goes further with its very complete analysis toolbox.
- Bayesian network learning BayesiaLab is a powerful data mining tool that allows easily and simply discovering the knowledge hidden in your databases.
- Decision support Use of Decision and Utility nodes to discover the optimal action policies on a simple example: drilling of oil wells.
- Dynamic bayesian networks and action policy learning All the Bayesian networks used so far were static probabilistic models. BayesiaLab allows too representing dynamic models. By exploiting the power of Bayesian networks, it is possible to calculate your optimal action policies.
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