Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity

Zhu, Qunxiong; Jin, Chengyan; He, Yan‐Lin; Xu, Yuan

doi:10.1021/acs.iecr.0c05618

Cited by 7 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, based on the basic theoretical foundation of Prefixspan algorithm [18][19], we propose a weighted sequence pattern mining algorithm DWSPM based on dynamic weights, aiming to mine the needed frequent alarm patterns more efficiently. First, the related concepts of sequence pattern mining algorithm are given.…”

Section: Weighted Sequence Pattern Mining Based On Dynamic Weightsmentioning

confidence: 99%

Neural network-based fiber optic cable fault prediction study for power distribution communication network

Zhang,

Yan,

Shen

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

As the foundation of communication networks, optical fiber carries huge network traffic, so the prediction of fiber optic cable faults is an important guarantee for the operation of communication networks. Based on the combination of fiber optic system networking technology and network management data, this study constructs an alarm correlation analysis method by using data mining technology to obtain the data set of the fault prediction model for the problem of low fault prediction accuracy of traditional communication networks. The dataset is used to balance the sample data by generating a small number of new samples through the generative adversarial network. The memory-based feature generation convolutional network is proposed to enhance the feature interaction to realize fault prediction in communication networks. The prediction model has a high prediction accuracy of 98.68%, which saves about 160 min for repair work through the application of fiber optic cable fault prediction, which compares well with other models. Fault prediction based on neural networks can provide assistance in the operation and maintenance of distribution communication networks.

show abstract

Section: Weighted Sequence Pattern Mining Based On Dynamic Weightsmentioning

confidence: 99%

Neural network-based fiber optic cable fault prediction study for power distribution communication network

Zhang,

Yan,

Shen

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…en, the parent-child or sibling relationship between each node is established, and finally a complete B+ tree index framework is formed [21,22].…”

Section: Index Creationmentioning

confidence: 99%

Construction of Multimedia Assisted Legal Classroom Teaching Model Based on Data Mining Algorithm

Wang

2021

Scientific Programming

View full text Add to dashboard Cite

In order to quickly and accurately retrieve a required part from massive multimedia educational resources and improve the utilization of educational resources, a multimedia assisted legal classroom teaching model based on data mining algorithm is designed. Firstly, the attributes of multimedia assisted legal classroom teaching resources are judged, and the numerical resources are standardized and discretized. Then, the B+ tree is used to establish the model’s indexes and index library, and the corresponding retrieval algorithm is designed to complete the resource search, establish the data distribution structure model of the multimedia assisted legal classroom teaching system, mine the data, reconstruct the phase space of the fused data information flow, extract the high-order moment features of the specific data in the multimedia assisted legal classroom teaching system in the reconstructed high-dimensional phase space, and realize the accurate mining of the feature data. The experimental results show that the teaching effect of the designed model has more advantages and can promote the improvement of students’ performance.

show abstract

Alarm correlation analysis with applications to industrial alarm management

Rao,

Zhou,

Brown

et al. 2024

Control Engineering Practice

View full text Add to dashboard Cite

Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity

Cited by 7 publications

References 20 publications

Neural network-based fiber optic cable fault prediction study for power distribution communication network

Neural network-based fiber optic cable fault prediction study for power distribution communication network

Construction of Multimedia Assisted Legal Classroom Teaching Model Based on Data Mining Algorithm

Alarm correlation analysis with applications to industrial alarm management

Contact Info

Product

Resources

About