Association Rules Optimization using ABC Algorithm with Mutation

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

6202680342 / 9786202680349

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This item is printed on demand - Print on Demand Titel. Neuware -In data mining, association rule mining is one of the popular and simple methods to find frequent itemsets from a large dataset. While generating frequent itemsets from a large dataset using association rule mining, the computer takes too much time. This can be improved by using an 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, an artificial bee colony algorithm with a mutation operator is used to generate high-quality association rules for finding frequent itemsets from large data sets. The mutation operator is used after the scout bee phase in this work. In general, the rule generated by the association rule mining technique does not consider the negative occurrences of attributes in them, but by using an artificial bee colony algorithm (ABC) over these rules the system can predict the rules which contain negative attributes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…

Seller Inventory # 9786202680349

Title
Association Rules Optimization using ABC Algorithm with Mutation
Author
Pankaj Sharma
Publisher
LAP LAMBERT Academic Publishing Sep 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202680342
ISBN 13
9786202680349
Item weight
131 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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