A Graph-Based Ant Colony Optimization for Association Rule Mining

Al-Dharhani, Ghassan Saleh; Othman, Zulaiha Ali; Bakar, Azuraliza Abu

doi:10.1007/s13369-014-1096-5

Cited by 9 publications

(1 citation statement)

References 16 publications

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“…Therefore, many scholars have explored the application of heuristic algorithms in this field and have made rich achievements (del Jesus et al , 2011). In particular, the improved heuristic algorithms for genetic algorithm, particle swarm algorithm, ant colony algorithm, and other heuristic methods (Al-Dharhani et al ., 2014; Prasanna and Ezhilmaran, 2016; Moslehi et al , 2020) all solve the shortcomings of traditional algorithms in data mining and have been well applied in the fields of education, medicine, services (Wang et al ., 2019 b ; Fang et al , 2020; Shazad et al , 2020), which fully verifies the superiority of this heuristic method. The principles and features of these algorithms are shown in Table 1.…”

Section: Related Workmentioning

confidence: 99%

Association rules mining between service demands and remanufacturing services

Zhou

Xia

Zhang

et al. 2020

AIEDAM

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The potential relationship between service demands and remanufacturing services (RMS) is essential to make the decision of a RMS plan accurately and improve the efficiency and benefit. In the traditional association rule mining methods, a large number of candidate sets affect the mining efficiency, and the results are not easy for customers to understand. Therefore, a mining method based on binary particle swarm optimization ant colony algorithm to discover service demands and remanufacture services association rules is proposed. This method preprocesses the RMS records, converts them into a binary matrix, and uses the improved ant colony algorithm to mine the maximum frequent itemset. Because the particle swarm algorithm determines the initial pheromone concentration of the ant colony, it avoids the blindness of the ant colony, effectively enhances the searchability of the algorithm, and makes association rule mining faster and more accurate. Finally, a set of historical RMS record data of straightening machine is used to test the validity and feasibility of this method by extracting valid association rules to guide the design of RMS scheme for straightening machine parts.

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