Risk management of data flow under cross-cultural english language understanding

Wei, Lanlan; Wang, Peng

doi:10.1007/s13198-022-01643-z

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…In addition, to deal with massive commercial data information, extracting useful data is very important for the production management of enterprise managers [4,5]. However, traditional data management and data mining technologies are unable to store and analyze large amounts of data efficiently [6,7]. Therefore, although companies have valuable data resources, they cannot be effectively utilized them [8,9].…”

Section: Introductionmentioning

confidence: 99%

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

2022

Advances in Multimedia

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With the surge in the amount of data in the internal and external environment, the collection, analysis, processing, and storage of the increasing data sources and data volume, as well as the problems of big data management, are the current situation and dilemmas of data management faced by enterprises today. Cognitive science and big data technology can provide good auxiliary support for enterprise management decision-making. This study takes the business information management of cold chain logistics enterprises as an example, aiming at the characteristics of business intelligence data in real applications, based on cognitive science and big data technology, from low-cost and high-performance storage, security management, and big data analysis. This paper is mainly through the research of big data processing theory and key technologies. Based on analyzing the logistics industry’s data access rules and characteristics, this study proposes a hot data prediction model for multilayer hybrid storage systems. It is verified that the prediction model has good accuracy, robustness, and universality. For the application scenario of multitenant distributed data access, a data transparent security management model is proposed. Simulation experiments show that this method can realize data security management when the performance loss is controlled within an acceptable range. Based on the real-time computing technology of massive data, the label optimization scheme of collaborative filtering and reinforcement learning is used to realize the logistics distribution recommendation model and to solve the accuracy and real-time problems of logistics service distribution analysis.

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Section: Introductionmentioning

confidence: 99%

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

2022

Advances in Multimedia

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Data Security Analysis of PHY Layer Using Artificial Intelligence and Machine Learning

Pagidimalla¹,

Venketbabu

Kanimozhi³

et al. 2023

2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)

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Exploring the Foreign Language Book Borrowing Habits of University Instructors and Prospective Teachers (2012–2022)

Liu

2024

Preprint

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Understanding the widespread adoption of foreign language books (FLBs) is imperative for language learners and educators, as it facilitates evaluating the efficacy and caliber of language resources. Using MARC-based bibliography analysis, the researcher uncovers publishing and subject information of popular FLBs and utilizes survival analysis to calculate the FLBs’ survival index. After conducting factor analysis, the researcher applies linear regression prediction and Bayesian estimation to determine the total number of FLBs borrowings and borrowers. The borrowing index of FLBs collected in the past five years surpasses that of books collected for more than five years, and staff members demonstrate higher borrowing activity compared to undergraduate students, postgraduate students, and other readers. Acceptance emerges as the most critical factor influencing the total number of FLBs borrowings and borrowers, while cultural dominance has a relatively minor impact, and personal background is found to be less negatively influential. The estimates of the total number of FLBs borrowings reveal that acceptance is restricted by cultural dominance, which in turn is limited by personal background. Similarly, the estimates of the total number of FLBs borrowers indicate that acceptance is constrained by personal background, which in turn is limited by cultural dominance.

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Risk management of data flow under cross-cultural english language understanding

Cited by 3 publications

References 16 publications

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

Data Security Analysis of PHY Layer Using Artificial Intelligence and Machine Learning

Exploring the Foreign Language Book Borrowing Habits of University Instructors and Prospective Teachers (2012–2022)

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