<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big data algorithm model and artificial intelligence algorithm in computers, we propose an algorithm based on a decision tree and logistic regression model in big data to query literature papers in the field of artificial intelligence as an example and compare and analyze the accuracy, accuracy, completeness, and F1 value of the obtained data through two categories of experiments. The experimental results show that the decision tree and logistic regression algorithm model based on big data can make the data finding accuracy of 89%, accuracy of 92%, and completeness of 87%, and optimize the speed and quality of the computer algorithm in the process of processing big data. This shows that the computer in the context of big data can provide access to data through algorithmic models in the field of artificial intelligence, which can improve the accuracy and authenticity of data sources and provide data support for in-depth research in the field of artificial intelligence.</p>
</abstract>

To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big data algorithm model and artificial intelligence algorithm in computers, we propose an algorithm based on a decision tree and logistic regression model in big data to query literature papers in the field of artificial intelligence as an example and compare and analyze the accuracy, accuracy, completeness, and F1 value of the obtained data through two categories of experiments. The experimental results show that the decision tree and logistic regression algorithm model based on big data can make the data finding accuracy of 89%, accuracy of 92%, and completeness of 87%, and optimize the speed and quality of the computer algorithm in the process of processing big data. This shows that the computer in the context of big data can provide access to data through algorithmic models in the field of artificial intelligence, which can improve the accuracy and authenticity of data sources and provide data support for in-depth research in the field of artificial intelligence.

Application of computers in artificial intelligence in the context of big data

Institute for Nationalities Attached to Hebei Normal University

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Application of computers in artificial intelligence in the context of big data"}

To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big...

Application of computers in artificial intelligence in the context of big data

Online veröffentlicht: 29. Juni 2023

Seitenbereich: -

Eingereicht: 29. Juli 2022

Akzeptiert: 04. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00469

Schlüsselwörter
Big data modeling algorithm, Artificial intelligence algorithm, Association classification joint algorithm, Data association rules, Data mining

© 2023 Manman Sun et al., published by Sciendo

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

Application of computers in artificial intelligence in the context of big data

Online veröffentlicht: 29. Juni 2023

Seitenbereich: -

Eingereicht: 29. Juli 2022

Akzeptiert: 04. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00469

SchlüsselwörterBig data modeling algorithm, Artificial intelligence algorithm, Association classification joint algorithm, Data association rules, Data mining

© 2023 Manman Sun et al., published by Sciendo

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

Schlüsselwörter
Big data modeling algorithm, Artificial intelligence algorithm, Association classification joint algorithm, Data association rules, Data mining