Association Rules Optimization using ABC Algorithm with Mutation
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 use…
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Produktdetails
Weitere Autoren: Gera, Umesh / Gupta, Manish
- ISBN: 978-620-2-68034-9
- EAN: 9786202680349
- Produktnummer: 37149727
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 76 S.
- Masse: H22.0 cm x B15.0 cm x D0.5 cm 131 g
- Abbildungen: Paperback
- Gewicht: 131
Über den Autor
Prof. Pankaj Sharma has completed his M.Tech degree in computer science and engineering, having 9 years of teaching experience. He has published various papers in Scopus indexed conferences and international journals. He has guided three students in the M.Tech course. He is also a member of various professional organizations such as IEEE, CSI, etc.
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