Download
BayesiaLab 4.4


Dynamic Presentations
of BayesiaLab


Static Presentations
of BayesiaLab


News


Search

 Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools Bayesian Networks and Data Mining Tools 

BayesiaLab

Presentation
Trial Version
Dynamic Presentations
Static Presentations 
 Tutorial 
 Fact Sheet 
Knowledge Modeling
Bayesian Network Learning
Evaluation
Analysis
Exploitation
Action Policy Learning
Application examples
Tutorial
News Letters

A fast discovery of the strong relationships in your models

BayesiaLab proposes different analyses at four levels : level of the network, level of the variables, level of the variable values and level of the evidence set.

Analysis of the arcs: evaluates the role of each arc inside the whole structure. The width of an arc reflects its strength with respect to the join probality law.

Bayesian Network Analysis

Analysis of the target node: it enables to visualize the amount of information brought by a node relative to the knowledge of the target node. The squares inside the nodes are more or less dark depending on the amount of information.

Bayesian Network Analysis

Analysis of the values of the target node: enable the visualization of two types of information relative to the link of a node with the target:

- type of influence of the concerned node on a particular value of the target node,
- information gain brought by the node on the target.

Bayesian Network Analysis

We developed our own node placement algorithms that take into account the nodes parenthood relations, and the strength of the links (the stronger the relation, the shorter the link)

Analysis Reports: allow establishing a profile for each state of the target variable and carrying a contradiction analysis of the evidence set

Bayesian Network Analysis Report

© 2001-2008 Bayesia SA.
All rights reserved.