Whale Optimization Algorithm For Solving Association Rule Mining Issue

Heraguemi, KamelEddine; Kadri, Houria; Zabi, Amira

doi:10.12785/ijcds/100133

Cited by 8 publications

(11 citation statements)

References 34 publications

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“…First, the support of the candidate item set

is calculated. Compared with the minimum support, the following formula can be obtained [ 29 ]:

…”

Section: Use Of Algorithms In the Process Of News Disseminationmentioning

confidence: 99%

Dilemma and coping strategies of news communication based on artificial intelligence and big data

Zhou

2024

Heliyon

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“…First, the support of the candidate item set

is calculated. Compared with the minimum support, the following formula can be obtained [ 29 ]:

…”

Section: Use Of Algorithms In the Process Of News Disseminationmentioning

confidence: 99%

Dilemma and coping strategies of news communication based on artificial intelligence and big data

Zhou

2024

Heliyon

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“…In order to prove the effectiveness of our approach, a series of comparisons were carried out with recently developed algorithms in the field of rule mining by fixing the algorithm parameters to the best values detected from the stability study, 30 and 300 for the number of wolves and iterations, respectively. The outcomes from the binary gray wolf optimizer for ARM were compared against the following algorithms: Whale Optimization Algorithm for ARM (WO-ARM) [8], Bat algorithm for ARM (BAT-ARM) [23], Bees swarm optimization algorithm for ARM (BSO-ARM) [30], Penguins Search Optimization Algorithm for ARM (Pe-ARM) [22], and multi-swarm bat algorithm for ARM (MSB-ARM) [7].…”

Section: Comparison Against Similar Approachesmentioning

confidence: 99%

“…This case makes traditional algorithms, such as Apriori [3] and FP-Growth [4], require a considerable execution time. In order to overcome this drawback, many studies take direction to evolutionary and bio-inspired algorithms, such as genetic algorithms [5], particle swarm algorithms [6], bat algorithm [7], and recently whale optimization algorithm [8], to select the most useful and interesting ARs within a reasonable time and less hardware consumption. Generally, for intelligent algorithms, the database is considered as a search space, and the algorithm -as an exploration strategy that aims to explore the search space and define the rules that maximize/ minimize an earlier defined fitness function that evaluates the rule quality based on its measures.…”

Section: Introductionmentioning

confidence: 99%

“…The approach proposed in [25] uses a sigmoid function binary cuckoo search, and it was applied to extract categorical ARs. Recently, Whale optimization algorithm (WOA) was adopted to extract relationships between items in a dataset [8]. The researchers look into the excellent trade-off between intensity and diversity that characterized the classic whale optimizer, which was founded on an encircling methodology, a spiral-shaped pathway, and a hunt strategy.…”

Section: Introductionmentioning

confidence: 99%

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A Binary Grey Wolf Optimizer with Mutation for Mining Association Rules

Heraguemi,

Kamel,

Mafarja

2024

CSJM

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In this decade, the internet becomes indispensable in companies and people life. Therefore, a huge quantity of data, which can be a source of hidden information such as association rules that help in decision-making, is stored. Association rule mining (ARM) becomes an attractive data mining task to mine hidden correlations between items in sizeable databases. However, this task is a combinatorial hard problem and, in many cases, the classical algorithms generate extremely large number of rules, that are useless and hard to be validated by the final user. In this paper, we proposed a binary version of grey wolf optimizer that is based on sigmoid function and mutation technique to deal with ARM issue, called BGWOARM. It aims to generate a minimal number of useful and reduced number of rules. It is noted from the several carried out experimentations on well-known benchmarks in the field of ARM, that results are promising, and the proposed approach outperforms other nature-inspired algorithms in terms of quality, number of rules, and runtime consumption.

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“…The findings demonstrated that WO-ARM is more effective in terms of runtime, quality, and memory consumption, primarily due to the mechanisms employed by the whale optimization algorithm. The authors intend to further enhance their approach to handle large-scale datasets by implementing parallel execution on Graphical Processing Units (GPU) in the near future [37].…”

Section: Text Analysismentioning

confidence: 99%

Text Classification with the Whale Swarm Algorithm: A New Perspective

Marzouk,

F. Shawish,

Fathi

et al. 2023

Journal of Communication Sciences and Information Technology

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The increasing popularity of nature-inspired meta-heuristic algorithms in real-world optimization problems has been attributed to their advantages over traditional numerical optimization techniques. This study introduces the Whale Swarm Algorithm (WSA), a nature-inspired meta-heuristic, which draws inspiration from whales' communication through ultrasound for hunting. The focus of this paper is on using WSA for feature optimization. Text mining finds applications in various domains, such as business intelligence, social media analysis, sentiment analysis, biomedical analysis, software process analysis, and security analysis. This paper explores the use of WSA as an optimization algorithm, particularly in automating the understanding of Arabic text and constructing ontologies. Additionally, the paper delves into the challenges faced in enhancing the WSA models. Furthermore, this research presents a comprehensive overview of the diverse applications of WSA in different fields, with a specific emphasis on its role in ontology learning from Arabic text, aiming to improve swarm optimization techniques in practical use cases.

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Whale Optimization Algorithm For Solving Association Rule Mining Issue

Cited by 8 publications

References 34 publications

Dilemma and coping strategies of news communication based on artificial intelligence and big data

Dilemma and coping strategies of news communication based on artificial intelligence and big data

A Binary Grey Wolf Optimizer with Mutation for Mining Association Rules

Text Classification with the Whale Swarm Algorithm: A New Perspective

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