Open Access
Association Rule Mining Using Firefly Algorithm
Poonam Sehrawat,Harish Rohil,Chaudhary Devi +2 more
- 01 Jan 2013
TL;DR: A new efficient approach is proposed for exploring high-quality association rules based on firefly algorithm, which is an optimization algorithm used in swarm optimization.
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Abstract: Data mining is the process of extracting previously unknown patterns from large amount of data. Association rule mining is one of very important data mining models. Swarm intelligence is a new subfield of artificial intelligence which studies the collective behavior of groups of simple agents. In this paper, a new efficient approach is proposed for exploring high-quality association rules. The proposed approach is based on firefly algorithm, which is an optimization algorithm used in swarm optimization. The proposed approach mines interesting and understandable association rules in single run without using the minimum support and the minimum confidence thresholds. The proposed approach was implemented using Microsoft Visual Studio 4.0 to prove its efficiency in terms of computation time.
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Citations
Least lion optimisation algorithm (LLOA) based secret key generation for privacy preserving association rule hiding
D. Menaga,S. Revathi +1 more
TL;DR: This study proposes a technique of secret key generation for privacy preserving using the least lion optimisation algorithm (LLOA), which attains the privacy of 84.36, 83.74, and 82.46%; and utility of 81.37%, for chess, T10I4D100K, and retail datasets.
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Extraction of association rules in the schematic design of product service system based on Pareto-MODGDFA
TL;DR: A new method to mine association rules by integrating a multi-dimension and multi-objective double group discrete Firefly Algorithm (MODGDFA) with Pareto rules with the results demonstrated are demonstrated by using CNC machine tools of the product service system schematic design.
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Firefly Algorithm For Optimization of Association Rules
Shikha Mehta,Mandhatya Singh,Navrattan Kaur +2 more
- 01 Mar 2020
TL;DR: This work applies metaheuristic algorithms such as Genetic Algorithm, Particle Swarm Optimization and Firefly algorithm on Apriori algorithm to enhance the elicitation of important strong rules between items.
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References
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Jiawei Han,Micheline Kamber,Jian Pei +2 more
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TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Mining association rules between sets of items in large databases
Rakesh Agrawal,Tomasz Imielinski,Arun N. Swami +2 more
- 01 Jun 1993
TL;DR: An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
•Proceedings Article
Fast algorithms for mining association rules
Rakesh Agrawal,Ramakrishnan Srikant +1 more
- 01 Jul 1998
TL;DR: Two new algorithms for solving thii problem that are fundamentally different from the known algorithms are presented and empirical evaluation shows that these algorithms outperform theknown algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems.
Firefly algorithms for multimodal optimization
Xin-She Yang
- 26 Oct 2009
TL;DR: In this article, a new Firefly Algorithm (FA) was proposed for multimodal optimization applications. And the proposed FA was compared with other metaheuristic algorithms such as particle swarm optimization (PSO).