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Founded in 1999, Bayesware
Limited is a privately-owned company developing Knowledge
Discovery and Data Mining software based on Bayesian methods. Bayesware
produces and supports programs, delivers custom-built solutions,
provides training programs, and offers consultancy services to corporate
customers and public institutions. |
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Bayesian
networks are one of the most successful developments of current
Artificial Intelligence research but their application to Knowledge
Discovery and Data Mining is still an open and exciting area of
development. Bayesian networks and Bayesian methods in general provide
a powerful approach to understanding and analyzing data, grounded
in the solid foundations of Bayesian statistics. Our flagship program,
Bayesware Discoverer - the first Knowledge Discovery program based
on Bayesian networks - encapsulates the vision and the mission of
our company: deploy cutting-edge technology in reliable and dependable
commercial products. |
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Bayesware
limited was founded in 1999 but its origins date back to 1996, when
a statistician, Paola Sebastiani, and a computer scientist, Marco
Ramoni, started a collaboration to develop efficient machine learning
methods to extract Bayesian networks from possibly incomplete databases.
In April 1999 Marco Ramoni and Paola Sebastiani joined forces with
Jerzy Grzeda, an alumnus of London Business School with experience
in business management for research-driven information technology
enterprises, to found Bayesware Limited. The board of Bayesware
was further strengthened by the arrival of Marc Eisenstadt, Director
of the Knowledge Media Institute at the Open University, United
Kingdom. |
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"The Circle
and the Arrow" in our corporate logo represent the two graphical
components of a Bayesian network: nodes and arcs. |
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