*** ORS Local Search Talk (in associati on with the School of Mathematics and Statistics, University of Birmingha m) ***

[Harrison Andrew <SAHARRISON@mail.dstl.gov.uk>]

[Apologies if you receive multiple copies of this email]

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Operational Research Society Local Search Study Group (in association with
the School of Mathematics and Statistics, University of Birmingham)
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Title: The Use of Meta-Heuristics in Data Mining
 
Speaker: Dr George Smith

Affiliation: School of Computing Sciences, University of East Anglia

Venue: Room 310, School of Mathematics and Statistics, University of
Birmingham, Edgbaston, Birmingham, B15 2TT, UK

Time: 1.45 (for 2pm start)
Date: Friday 5th March 2004

Map available from: http://www.location.bham.ac.uk/

Abstract:
 
Meta-Heuristics form a family of search algorithms used in tackling large, 
complex combinatorial optimisation problems. The family includes simulated 
annealing, tabu search, guided local search, GRASP, evolutionary 
algorithms and ant colony optimisation. At UEA, we have a team of 
researchers developing and applying meta-heuristics to applications in 
data mining. Two case studies will be presented: the first is an 
application of simulated annealing to induce covering rules in a 
classification problem, the second is the application of genetic 
programming to construct (evolve) new and highly predictive features from 
the given predicting attribute set. 

> Andy  Harrison
> 
> Information Management Department
[dstl] 
> Rm W5
> Malvern Technology Centre
> St Andrews Road
> Great Malvern
> Worcestershire
> WR14 3PS
> UK
> 
> Tel. +44 (0)1684 771395
> Fax. +44 (0)1684 771437
> email saharrison@dstl.gov.uk
> 
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