Subject: DATA MINING '96 CONFERENCE
From: Unicom Seminars Ltd <[email-masked]>
Date: Tue, 19 Dec 1995 11:05:15 GMT
Newsgroups: comp.ai

DATA MINING '96

LONDON, 25-26 APRIL 1996

Sponsored by:
BCS SGES  
AI Watch - the Newsletter of AI INTELLIGENCE
SPSS  (to be confirmed) 

Background and Objectives

Many organizations have collected large amounts of data recording their past activities.  Buried within these databases is 
knowledge, from which can be learnt important lessons which, in turn, can be exploited to improve future performance.  The 
extraction of this knowledge, often in the form of a number of rules which describes how one or more fields are related to other 
fields, is known as data mining or KDD (Knowledge Discovery in Databases).

The techniques used in KDD exploit some of the most recent research in artificial intelligence and machine learning.   A fundamental 
purpose of this Seminar is to gather together both academics and representatives from industry in order to review the current 
techniques and to discuss their practical application.

Industry and commerce have begun to see the potential of these techniques and have started to exploit them in a wide range of 
applications such as market segmentation, risk analysis, credit rating and customer profiling.  Data mining techniques have also 
been used by social service departments and there is huge potential for  medical data mining. Case studies for a wide range of 
applications will be presented.

Anyone wishing to apply these tools needs to be aware of the availability and use of data mining toolkits. There are a number on the 
market and some software available on the Web. These will be assessed both in case studies and in comparative studies. 

Topics  covered will thus include:

Database manipulationVisualisation TechniquesStatistical analysisClusteringFuzzy ReasoningNeural NetsHeuristic MethodsC
ase StudiesData Mining Methodologies and 
 ToolsRule Induction

Who should attend?A primary goal of the conference is to bring together researchers and end-users. The latest results in data 
mining will be presented and assessed for their practicality. Typical delegates will  be        * Academic Researchers        
Toolkit Developers * Data Analysts  * Management Consultants * 
Database Administrators

Organising Committee:
Professor V J Rayward Smith,  University of East Anglia (Chair)
Professor Sally McClean, University of Ulster
*Mr Ken Totton, BT
*Mr Tony Bowden, Tony Bowden & Associates
*Mr Colin Shearer, Integral Solutions

Keynote Speakers invited:
Professor Gregory Piatetsky-Shapiro, GTE Laboratories, USA
Dr Arno Siebes, CWI, Amsterdam

Other Speakers agreed

Dr Robert Milne, Intelligent Applications
Dr Willi Kloesgen, GMD

Attendance fees

1 day : 395;  2 days: 695  Academic Discounts on application
There is a reduced fee for speakers of 200/2 days

For further information on : 
attending this event
exhibiting products and services
presenting a paper
providing a written paper for the proceedings
Contact Julie Valentine at UNICOM SEMINARS  
TEL:  01895 256 484   FAX:  01895 813 095
EMAIL [email-masked]