The use of Meta-Heuristics in Data Mining

author = "George D. Smith",

title = "The use of Meta-Heuristics in Data Mining",

howpublished = "Meeting of the Operations Research society",

year = "2004",

month = "5th " # mar,

keywords = "genetic algorithms, genetic programming",

URL = "

http://www.orsoc.org.uk/region/study/local/DM_handouts.pdf",

size = "29 slide",

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.",

notes = "School of Computer Science, University of East Anglia, UK",