Wednesday 6 April 2005

The University of Liverpool

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Sponsors: The Engineering and Physical Sciences Research Council (EPSRC), The British Computer Society's Specialist Group on AI (BCS-SGAI) and the International Federation for Information Processing (IFIP) WG12.2 Machine Learning and Data Mining.

Supported by: KD-net (The European Knowledge Discovery Network of Excelllence), and the University of Liverpool.

Programme Registration Hotel Info. Directions Contact Bursaries


The one day 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.


The Programme is available.


Max Bramer - Experiments in Hypertext Categorization
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 - ROC Analysis for Model Improvement: Analysis and Open Questions
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.


The symposium will take place in the University of Liverpool's Foresight centre (

The Foresight Centre

The University of Liverpool

1 Brownlow Street


L69 3GL

Tel: 0151 794 8060
Fax: 0151 794 8311

Car parking spaces within the University precinct are available, please contact the symposium chair if you require a parking space so that a "visitors parking permit" can be prepared.

Directions and map/parking instructions are available for download, in .pdf format, using the following links:



Registration fee (includes: coffee/tea on arrival and at breaks, two course lunch, copy of symposium proceedings, etc.)
SGAI Members:30

To register for the symposium please use the provided pdf registration form. All delegates should register in advance (by 1 April 2005 at the latest) so that appropriate catering arrangements can be made (cheques should be made payable to "The University of Liverpool", alternatively payment may be made by credit card --- see registration form). Information regarding hotels is also available.

Dr Frans Coenen     Email:
Dept. of Computer Science     Tel: 0151 794 3698
The University of Liverpool     Mobile: 07970 24 7429
Liverpool L69 3BX    

Organising Committee:

Frans Coenen (Chair)University of Liverpool
Alex FreitasUniversity of Kent
Beatriz de la IglesiaUniversity of East Anglia


The EPSRC has generously agreed to sponsor the UKKDD symposium by providing a number of 125 student bursaries to support the event.

What the bursaries Cover: Each bursary covers the 30/35 registration cost plus travel up to a maximum of 95/90.

Who is eligible: Any postgraduate student registered at a UK academic institution who does NOT have access to alternative EPSRC funding for travel.

How to apply: