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In data mining, Association rule mining is one of the popular and simple method to find the frequent item sets from a large data set. While generating frequent item sets from a large data set using association rule mining, computer takes too much time. This can be improved by using artificial bee colony algorithm (ABC). The Artificial bee colony algorithm is an optimization algorithm based on the foraging behavior of artificial honey bees. In this paper, artificial bee colony algorithm is used to generate high quality association rules for finding frequent item sets from large data sets.
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Association Rules Optimization using Particle Swarm Optimization Algor
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139898331
ISBN 13: 9786139898336
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Association Rules Optimization using Particle Swarm Optimization Algor
Verlag:
LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 6139898331
ISBN 13: 9786139898336
Neu
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -In data mining, Association rule mining is one of the popular and simple method to find the frequent item sets from a large data set. While generating frequent item sets from a large data set using association rule mining, computer takes too much time. This can be improved by using artificial bee colony algorithm (ABC). The Artificial bee colony algorithm is an optimization algorithm based on the foraging behavior of artificial honey bees. In this paper, artificial bee colony algorithm is used to generate high quality association rules for finding frequent item sets from large data sets.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Artikel-Nr. 9786139898336
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