SGES Evening Lectures
Birkbeck College University of London
The Evening Lectures are free to both members and non-members of SGES.
Further information is available on the SGES website:
http://www.bcs-sges.org
Wednesday 23rd June 1999 (6 pm)
Discovering Knowledge in Databases using Bayesian Networks
Marco Ramoni
Knowledge Media Institute, The Open University
Paola Sebastiani
Statistics Department, The Open University
Abstract
The automated extraction of structured and reusable knowledge
from databases is a challenging task with spectacular applications
and vast potential reward. This talk will describe the use of
Bayesian networks to discover knowledge in database. Bayesian
networks are a knowledge representation formalism grounded in the
well-established mathematics of Bayesian statistics and graph theory.
The talk will start by describing how to extract Bayesian networks
from databases. It will then tackle the problem of handling
incomplete databases and under which assumptions this approach can
scale up to large databases. Finally, the talk will show how to
discover knowledge when data are represented as sequences or are
displaced along temporal tracks. As illustrative examples, the talk
will use applications from financial management, military simulation,
cognitive robotics, and music composition.
--------------------------------------
MARCO RAMONI is Research Fellow at the Knowledge Media Institute, The
Open University, where he is Project Leader of the project BaKE
(Bayesian Knowledge Extractor) funded by the ESPRIT program of the
European Community. He received a PhD in Bioengineering (Artificial
Intelligence in Medicine) from the joint program of the Polytechnic of
Milan and the University of Pavia and a degree in Philosophy from the
University of Pavia. He held research positions at University of
Massachusetts at Amherst, McGill University, and University of Geneva.
PAOLA SEBASTIANI is Lecturer in the Statistics Department of the
Open University, where she is Principal Investigator (Open University)
of the project BaKE (Bayesian Knowledge Extractor) funded by the
ESPRIT program of the European Community. She received a degree in
Mathematics from the University of Perugia, Italy, a MSc in Statistics
from the University College London, and a PhD in Statistics from the
University of Rome, Italy. Before joining the Open University, she
held academic positions at the University of Massachusetts at Amherst,
the City University, and the University of Perugia, and visiting
positions at the University College London and the London School of
Economics and Political Science.
For further information contact:
Dr. Hui Liu, Department of Computer Science, Birkbeck College
[log in to unmask]
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|