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: 789 CZK
Availability: InStock

Autor: Umesh Gera, Manish Gupta

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

789 Kč

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

Informace o knize

Autor

Umesh Gera, Manish Gupta

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2020

Stránek

EAN

9786202680349

ISBN

6202680342

Enbook ID

36932830

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

131

Rozměry

150 x 220 x 5

Kompletní popis

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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