Association Rules Optimization using ABC Algorithm with Mutation

Name: Association Rules Optimization using ABC Algorithm with Mutation
Brand: LAP LAMBERT Academic Publishing
SKU: 9786202680349
Price: 192.48 RON
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Autor: Umesh Gera, Manish Gupta

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Editura: LAP LAMBERT Academic Publishing

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In data mining, association rule mining is one of the popular and simple methods to find frequent it...

Informații despre carte

Autor

Umesh Gera, Manish Gupta

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2020

Pagini

EAN

9786202680349

ISBN

6202680342

Enbook ID

36932830

Editura

LAP LAMBERT Academic Publishing

Greutate

131

Dimensiuni

150 x 220 x 5

Descriere completă

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.

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Association Rules Optimization using ABC Algorithm with Mutation

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