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Static presentations of BayesiaLab

Bayesia proposes to you to discover BayesiaLab and its use through our static presentations.

	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.
	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.
	Experience feedback exploitation Within this study case, discover the power of the automatic learning of BayesiaLab in order to exploit and capitalize your experience feedback data.
	Satisfaction questionnaire analysis Discover BayesiaLab in a study case concerning a satisfaction questionnaire analysis and know why great names of the marketing, market research, and poll businesses have turned BayesiaLab into an essential tool for their data mining and analysis.
	Analysis of the French Presidential Elections of April 2007 Discover the power of BayesiaLab for the Political Analysis of the votes of all the French communes. Analysis of the results of the two rounds in 2007 and integration of the results of the 2002 Presidential Election.
	Decision support As knowledge representation tools, Bayesian networks constitute invaluable tools for decision support. By adding Decision nodes, to directly model the decision-making process, and Utility nodes, to qualify the states of the networks, it is possible to use BayesiaLab to discover the policies of optimal actions.
	Learning of Bayesian scoring functions This example describes how to use BayesiaLab to implement a Bayesian score and how to use the graphic module to visualize the data.