UK KDD SYMPOSIUM (UKKDD'05)
        ===========================
        Wednesday 6 April 2005
        The University of Liverpool

        http://www.csc.liv.ac.uk/~frans/ukkdd2005.html


Sponsors: The British Computer Society's Specialist Group on AI 
(BCS-SGAI), and The University of Liverpool.

AIMS AND OBJECTIVES

The symposium 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 in 
Data (KDD). To this end a number of key people will be presenting a 
"state of the art" review of much of the KDD research work currently in 
progress within UK institutions. It is hoped that the symposium will 
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. The symposium will end with a plenary session to 
discuss future directions and opportunities.

PROGRAMME

Speakers:
Max Bramer - Hypertext Categorisation
Max Bramer is Professor of Information Technology at the University of 
Portsmouth. He is Chairman of the British Computer Society Specialist 
Group on Artificial Intelligence and of the Technical Committee on 
Artificial Intelligence of IFIP, the International Federation for 
Information Processing. He has a long- term involvement in the field of 
Knowledge Discovery and was Conference Chair for the fourth IEEE 
International Conference on Data Mining in Brighton in November 2004.

Peter Flach - Recent developments in ROC analysis for machine learning 
and data mining
Peter Flach is Professor of Artificial Intelligence at the University of 
Bristol. He has published widely on inductive logic programming, 
multi-relational data mining, and machine learning. He was PC co-chair 
of ILP'99 and ECML'01, is on the steering committee of the recent 
ECML/PKDD conferences, and is a regular PC member of all major machine 
learning and data mining conferences including ICML, ECML/PKDD, ILP, 
ICDM, SDM, and PAKDD. Prof Flach is associate editor of Machine 
Learning, and serves on the editorial boards of Journal of Machine 
Learning Research, Journal of Artificial Intelligence Research, and 
Artificial Intelligence Communications.

David Hand - Spotting the difference: detecting anomalies in large data sets
David Hand, FBA, is Professor of Statistics at Imperial College. He was 
awarded the Royal Statistical Society's Guy Medal in Silver in 2002 
partly for his work in areas at the interface with other disciplines, 
such as data mining. He has published over twenty books in statistics
and related areas, including Principles of Data Mining and Pattern 
Detection and Discovery.

John Keane - Efficient and Effective Mining
Professor John Keane is Co-Director of the JISC/BBSRC/EPSRC funded 
National Centre in Text Mining. His interests are in the design, 
development and engineering of data-intensive systems, most recently, 
working in the areas of location analysis, and data and text mining. 
John Keane is PI for the EPSRC projects IBHIS and HIPERSTAD , and Co-I 
for the BBSRC project Text Mining. He is a member of the EPSRC IT/CS 
Peer Review Panel, a member of the Editorial Board of Simulation Modeling.

Ross King - Applied Inductive Logic Programming
Ross King is a Professor of Computer Science and head of the 
Computational Biology research group at Aberystwyth. His principal 
research area is in the application and development of machine 
learning/data mining to bioinformatic and chemoinformatic problems. He 
was on the programme committee for PKDD'03 (Croatia).

Paul Leng - Computing Association Rules from incomplete Support-Counts
Paul Leng is Professor of e-Learning at the University of Liverpool, and 
Director of the e-Learning Unit, which is responsible for overseeing the 
University's online degree programmes, leading to degrees of MSc in I.T. 
and MBA. As well as e-Learning, his main research interests are in Data 
Mining, especially in methods of discovering Association Rules. In 
collaboration with Frans Coenen, he has developed efficient new 
algorithms for finding frequent sets and is exploring applications in 
text mining and classification.

George Smith - Meta-heuristics in the KDD Process
George Smith is a senior lecturer within the Knowledge Extraction and 
Data Mining research group at the University of East Anglia --- the 
largest specialist Data Mining research group in the UK. He has 
considerable experience in the practical application of data mining
techniques in collaboration with industrial and commercial partners.


LOCATION

The symposium will take place in the University of Liverpool's Foresight 
centre (http://www.foresightcentre.co.uk/):

The Foresight Centre
The University of Liverpool
1 Brownlow Street
Liverpool
L69 3GL

        Tel: 0151 794 8060
        Fax: 0151 794 8311
        Email: [log in to unmask]

Directions and map/parking instructions are available for download, in 
.pdf format from the UKKDD WWW site 
(http://www.csc.liv.ac.uk/~frans/ukkdd2005.html).


REGISTRATION AND CONTACT DETAILS

Registration fee (includes: coffee/tea on arrival and at breaks, two 
course lunch, copy of symposium proceedings, etc.)

        SGAI Members: £30
        Non-members: £35

To register for the symposium please contact Frans Coenen. All 
delegates should register in advance so that appropriate catering 
arrangements can be made. Cheques (in pounds sterling, drawn on a
UK bank) should be made payable to "BCS SGES". Information regarding 
hotels and gredit card payements can also be obtained from the symposium 
chair:

        Dr Frans Coenen
        The University of Liverpool
        Dept. of Computer Science
        Liverpool L69 3BX

        Email: [log in to unmask]
        Tel: 0151 794 3698
        Mobile: 07970 24 7429

Organising Committee:
        Frans Coenen (Chair), University of Liverpool
        Alex Freitas, University of Kent
        Beatriz de la Iglesia, University of East Anglia