Data mining-based hierarchical transaction model for multi-level consistency management in large-scale replicated databases

Mukherjee, Aradhita; Chaki, Rituparna; Chaki, Nabendu

doi:10.1016/j.csi.2020.103485

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…can be calculated by the following formula: (6) In the above formula,   E X and Based on the above calculation results, the entropy [10] of clustering in the process of financial technology data transaction information mining is calculated. The specific calculation formula is as follows:…”

Section: Design Of Rapid Identification Methodsmentioning

confidence: 99%

Research on Rapid Identification of Infringement Risk in Financial Technology Data Transactions

Liu

2023

SHS Web Conf.

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Aiming at the problems of low accuracy rate of transaction information mining, high error rate of identification of infringement risk of financial technology data transaction and long identification time in current data transaction infringement risk identification methods, a new rapid identification method of infringement risk in financial technology data transactions is proposed. The entropy of clustering is determined by using coverage density and weighted coverage density to mine the transaction information of financial technology data. The BP algorithm is used to train the T-S fuzzy neural network, and the financial technology data transaction information is input into the trained T-S fuzzy neural network to obtain the quick identification result of the infringement risk of financial technology data transaction. The experimental results show that this method has a high accuracy rate of fintech data transaction information mining, a low error rate of fintech data transaction infringement risk identification, and a short recognition time.

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Section: Design Of Rapid Identification Methodsmentioning

confidence: 99%

Research on Rapid Identification of Infringement Risk in Financial Technology Data Transactions

Liu

2023

SHS Web Conf.

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Evaluation Model of University Management Informatization Level Under the Genetic Algorithm

Liu,

Dan

2024

Application of Big Data, Blockchain, and Internet of Things for Education Informatization

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Research on query optimization algorithm of multi database system based on Distributed Database

Ding

2022

2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers

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Data mining-based hierarchical transaction model for multi-level consistency management in large-scale replicated databases

Cited by 3 publications

References 17 publications

Research on Rapid Identification of Infringement Risk in Financial Technology Data Transactions

Research on Rapid Identification of Infringement Risk in Financial Technology Data Transactions

Evaluation Model of University Management Informatization Level Under the Genetic Algorithm

Research on query optimization algorithm of multi database system based on Distributed Database

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