UK KDD Symposium (UKKDD’06)
26th April 2006
John Innes Conference Centre,
Norwich Research Park, Norwich, UK
Hosted by the UEA KDD Research Group
Aims:
This one day Symposium, hosted by UEA Norwich, is intended to provide a
forum for discussion, dissemination and exchange of ideas between
practitioners and researchers working within the broad field of
Knowledge Discovery and Data mining (KDD). To this end a number of key
people will be presenting a "state of the art" review of KDD research
work currently in progress within UK institutions. Following the
success of UK KDD'05, hosted by the University of Liverpool, it is
hoped that the Symposium will once again attract delegates, both
national and international, who are either directly involved in KDD or
have a significant interest in the subject, and that the meeting will
consequently afford an opportunity for lively debate and discussion.
Programme:
Vic Rayward-Smith (UEA Norwich)
Clustering applied to commercial databases.
Vic Rayward-Smith is a Professor in the School of Computing science at
UEA and leads the KDD Research group at the University. He has
published over 150 papers, 40 of which are concerned with KDD. He is
editor-in-chief of the Journal of Mathematical Modelling and Algorithms
and is on the editorial board of Applied Intelligence. He is on the
programme committee of five international conferences concerned with
KDD and has acted as a data mining consultant to a number of companies
including Norwich Union (Aviva), the Met Office, Master Foods, Unilever
and NATS.
Julia Handl (University of Manchester)
Multiobjective approaches to unsupervised classification.
Julia Handl is a PhD student in the School of Chemistry at the
University of Manchester. Her publications over the past three years
have covered a variety of topics related to unsupervised classification
including cluster validation techniques, ant-based clustering and
multiobjective approaches to clustering and feature selection. She
chaired the special session on evolutionary clustering at the 2005 IEEE
Congress on Evolutionary Computation, and serves as a referee for a
number of international conferences and journals in the field of
evolutionary computation.
Trevor Martin (University of Bristol)
The importance of being fuzzy.
Trevor Martin is Professor of Artificial Intelligence in the AI group
at the University of Bristol. Since 2001 he has been funded for 80% of
his time by BT as a Senior Research Fellow, leading a project
researching soft computing in intelligent information management
including areas such as the semantic web, soft concept hierarchies and
user modelling. He is a member of the editorial board of Fuzzy Sets and
Systems, and has served on many conference programme and organising
committees, including programme chair for the 2007 IEEE Fuzzy Systems
Conference. He has published over 150 papers in refereed conferences,
journals and books, and is a Chartered Engineer and member of the BCS.
Niall Adams (Imperial College)
Fraud detection in consumer credit.
Niall Adams obtained a bachelors degree, and a PhD in Computational
Statistics, from Liverpool John Moores University. He worked as a
post-doctoral researcher at both the Open University and Imperial
College London, where he is now a lecturer in Statistics. His research
interests includes classification and data mining, in diverse areas
such as consumer credit and molecular biology.
Jo Dicks (John Innes Centre, Norwich)
Germplasm collections: Gaining new knowledge from old datasets.
Jo Dicks has a BSc. in Mathematics from the University of Nottingham
and an MSc. in Applied Statistics and a DPhil. in Biological Sciences
from the University of Oxford. While at Oxford, Jo developed both
databases and algorithms for comparative genome analysis in mammals. In
1996, Jo moved to the John Innes Centre, where she is a Project Leader
in Computational Biology. Jo's group specialises in modelling
evolutionary processes in plants and microbes. Since 2001, Jo has held
an Honorary Lectureship at UEA and has many past and current projects
with UEA staff in the area of biological knowledge discovery.
Mark Girolami (University of Glasgow)
Examples of Bayesian inference solving industrial problems.
Mark Girolami is a Reader in the Department of Computing Science at the
University of Glasgow. His research interests lie at the interface
between Computing Science and Statistics. He has collaborated with
industry on a number of research projects that have resulted in
technologies for which international patents have been awarded. In 2005
he was awarded an MRC funded Discipline Hopping Award to investigate
the application of Bayesian inference in certain problems in
Computational Biology. In 2000 he was the TEKES visiting professor at
the Laboratory of Computing and Information Science in Helsinki
University of Technology, and in 1998 and 1999 Dr. Girolami was a
research fellow at the Laboratory for Advanced Brain Signal Processing
in the Brain Science Institute, RIKEN, Wako-Shi, Japan. He has been a
visiting researcher at the Computational Neurobiology Laboratory (CNL)
of the Salk Institute. Mark holds a degree in Mechanical Engineering
from the University of Glasgow (1985), and a PhD in Computing Science
from the University of Paisley (1998).
Alex Freitas (University of Kent)
Are we really discovering interesting knowledge from data?
Alex Freitas is a Senior Lecturer at the University of Kent. He has
authored two research-oriented books about data mining and is a member
of the editorial board of two journals: the Intelligent Data Analysis -
an International Journal and the International Journal on Data
Warehousing and Mining. He has been a member of the program committee
of the PKDD conferences since 1999. His main research interests are
data mining, biologically-inspired algorithms and bioinformatics.
The Symposium will end with a plenary session to discuss future
directions and opportunities.
Organising Committee:
George Smith (Chair)
University of East Anglia
Email: [log in to unmask]
Frans Coenen
University of Liverpool
Email: [log in to unmask]
Alex Freitas
University of Kent
Email: [log in to unmask]
Website url: UKKDD’06
http://www2.cmp.uea.ac.uk/Research/kdd/ukkdd06/ukkdd06.html
Registration Fee includes: coffee/tea on arrival and during break
periods, lunch, and a copy of the Symposium proceedings.
BCS / SGAI Member £35.00 Non-member £40.00
To register for the Symposium please use the registration form. Any
enquiries regarding registration should be sent to:
Dr Beatriz de la Iglesia: School of Computing Sciences, UEA, Norwich,
NR4 7TJ;
email [log in to unmask] , Tel: +44 (0)1603 592961, Fax: +44 (0)1603
593345.
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