nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Bibliographic Details

Title: Association Rules Optimization using Particle Swarm Optimization Algor
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2018
Language: English
ISBN 10: 6139898331
ISBN 13: 9786139898336
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 107 grams

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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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