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<p>Exploring the application of big data connection processing technology in constructing online aesthetic education platforms to improve the operability of online aesthetic education. This paper uses big data technology to construct an online aesthetic education platform based on MapReduce distributed parallel computing framework. The Bloom Filter algorithm is used to analyze and process the online aesthetic education data, and the Bloom Filter algorithm is improved with the hash function. The filtering optimization strategy based on MapReduce distributed parallel computing framework is used to analyze further and process the online aesthetic education data, and the error rate and execution efficiency of the online aesthetic education platform is analyzed using the test data set. Regarding the misjudgment rate, when the number of hash functions is 4, the misjudgment rate of the platform reaches 1.24% at the minimum. The execution efficiency of the online education platform is 102s when the number of Reduce is 10-20, which indicates that the use of big data connection processing technology can effectively realize the construction of online education platforms and provide a new research direction for the realization of information-based education.</p>
</abstract>

Exploring the application of big data connection processing technology in constructing online aesthetic education platforms to improve the operability of online aesthetic education. This paper uses big data technology to construct an online aesthetic education platform based on MapReduce distributed parallel computing framework. The Bloom Filter algorithm is used to analyze and process the online aesthetic education data, and the Bloom Filter algorithm is improved with the hash function. The filtering optimization strategy based on MapReduce distributed parallel computing framework is used to analyze further and process the online aesthetic education data, and the error rate and execution efficiency of the online aesthetic education platform is analyzed using the test data set. Regarding the misjudgment rate, when the number of hash functions is 4, the misjudgment rate of the platform reaches 1.24% at the minimum. The execution efficiency of the online education platform is 102s when the number of Reduce is 10-20, which indicates that the use of big data connection processing technology can effectively realize the construction of online education platforms and provide a new research direction for the realization of information-based education.

Application of Big data connection processing technology in the construction of an online aesthetic education platform

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the application of big data connection processing technology in constructing online aesthetic education platforms to improve the operability of...

Application of Big data connection processing technology in the construction of an online aesthetic education platform

Publié en ligne: 09 sept. 2023

Pages: -

Reçu: 28 oct. 2022

Accepté: 20 mars 2022

DOI: https://doi.org/10.2478/amns.2023.2.00323

Mots clés
Big data technology, Bloom Filter algorithm, MapReduce, Hash function, Online aesthetic education

© 2023 Yang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of Big data connection processing technology in the construction of an online aesthetic education platform

Publié en ligne: 09 sept. 2023

Pages: -

Reçu: 28 oct. 2022

Accepté: 20 mars 2022

DOI: https://doi.org/10.2478/amns.2023.2.00323

Mots clésBig data technology, Bloom Filter algorithm, MapReduce, Hash function, Online aesthetic education

© 2023 Yang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Big data technology, Bloom Filter algorithm, MapReduce, Hash function, Online aesthetic education