Method of Equipment Fault Diagnosis Based on Frequent Itemsets Mining

Wang, He; Wei, Lu

doi:10.1109/icmtma54903.2022.00111

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…Rapid data influx may introduce complexities that need to be carefully addressed to ensure the reliability of the method. Efficient fault prediction in power grids, as demonstrated by He and Lu in 2022, [27] is another commendable achievement. While the proposed model outperforms other algorithms in terms of training time and it must be adaptable to diverse grid structures and real-world complexities.…”

Section: Discussion and Analysismentioning

confidence: 99%

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Innovations in frequent itemset mining: challenges and opportunities

2023

TIS

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The era of big data, characterized by vast and complex datasets, has prompted the need for advanced data mining techniques. Frequent itemset mining, a fundamental method in data mining, plays a pivotal role in uncovering hidden knowledge and patterns. However, it faces challenges in scalability, adaptability to uncertainty, and the need to consider rare and closed itemsets. This paper reviews recent advancements in frequent itemset mining, focusing on innovative approaches introduced in 2022 and 2023. These advances address dynamic database updates, efficient fault prediction, scalability issues, quantitative pattern mining, utility-based approaches, mining rare itemsets, real-time decision-making, and uncertain frequent itemset mining. While these studies offer valuable solutions, they also present challenges related to scalability, adaptability, and performance. Future research should refine these methods to meet evolving data mining demands.

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Section: Discussion and Analysismentioning

confidence: 99%

“…In 2022, He and Lu [27] employed frequent itemset mining to analyze equipment fault associations in complex power grid structures. Correlated fault features were selected using mutual information, and a model assessed potential relationships.…”

Section: Literature Reviewmentioning

confidence: 99%

Innovations in frequent itemset mining: challenges and opportunities

2023

TIS

View full text Add to dashboard Cite

show abstract

Method of Equipment Fault Diagnosis Based on Frequent Itemsets Mining

Cited by 1 publication

References 7 publications

Innovations in frequent itemset mining: challenges and opportunities

Innovations in frequent itemset mining: challenges and opportunities

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