BCS SGES Evening Lectures at Birkbeck College
Wednesday June 14th 2000
Professor Fionn Murtagh (Queen's University, Belfast)
Intelligent Data Modeling based on the Wavelet Transform and
Data Entropy
ABSTRACT
We develop and study an approach to quantitatively characterizing the
inherent information in our data. To do this we use properties of the
data which are related to resolution scale and noise. Multiscale entropy
of the data is defined, based on the wavelet transform and noise
modeling. We demonstrate the effectiveness of such intelligent data
modeling. Data semantics, represented by resolution scale and noise
properties, are encompassed in our approach. Our goal is to develop
general characterization of information content in data, to allow
retrieval in unsupervised modes (data mining, clustering) or supervised
modes (supervised classification, discriminant analysis).
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Professor Fionn Murtagh, Computer Science, Queen's University of
Belfast (BA, BAI, Trinity College Dublin, 1976; MSc, Information
Retrieval, Trinity College Dublin 1979; PhD, Mathematical Statistics,
Universite P & M Curie, Paris 6, 1981; Habilitation, University
Louis Pasteur, Strasbourg, 1993) has research interests spanning
information retrieval, data analysis, and image and signal processing.
He has authored about 10 books including "Image and Data Analysis:
the Multiscale Approach", Cambridge University Press, 1998;
"Intelligent Information Retrieval", Kluwer, 1993; "Multivariate
Data Analysis", Kluwer, 1987; "Multidimensional Clustering Algorithms",
Physica-Verlag, 1985; and about 150 journal papers. He is a member
of various journal editorial boards and is Editor in Chief of
Neurocomputing Letters.
Among 4th Framework projects which he was involved in were ADDSIA
(distributed statistical databases) and Neurosat (neural networks for
environmental data analysis). He is a partner in the 5th Framework IRAIA
project (resource and knowledge discovery in economic databases using
intelligent agent and distributed computing technologies) which started
in March 2000.
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The venue is Room 121, North Block, Senate House, London University,
Malet Street, London WC1. A map of the area is available at
http://www.dcs.bbk.ac.uk/dept/map.html. Location 9 is the North
Block of Senate House. Everyone is welcome.
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Information about the evening lectures and all other SGES events
is available on the SGES website at http://www.bcs-sges.org
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