Influence of data mining technology in information analysis of human resource management on macroscopic economic management

Ai, Zhang

doi:10.1371/journal.pone.0251483

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…(3) Text Vector Similarity Algorithm. e vectorized texts can be used for clustering algorithms, and the similarity between texts is an important indicator that affects the clustering effect, so the algorithm for calculating text vector similarity is also used [19].…”

Section: Finished Product Failure Record Text Vectorizationmentioning

confidence: 99%

Data Mining Technology for Equipment Machinery and Information Network Data Resources

Zhang¹

2022

Security and Communication Networks

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In order to solve the problem of aviation equipment system maintenance, it is very difficult to judge the faulty finished product according to the fault phenomenon, the author proposes a data mining-based prediction model for aviation equipment failure finished products. The model takes historical fault record data as input, clusters a large number of fault descriptions through text clustering to obtain fault phenomenon clusters, and establishes a many-to-many relationship between “fault phenomenon” and “fault finished product.” A probability distribution algorithm for faulty finished products is proposed, and by matching new fault phenomena and fault phenomenon clusters, the probability distribution of faulty finished products is calculated. The experimental results show that after calling the model to complete the clustering of the fault information database, 18966 fault phenomenon clusters are obtained, and each fault phenomenon cluster contains 2.9 fault records on average, the many-to-many relationship between the fault phenomenon and the faulty finished product of the fault information database is successfully constructed. The model can effectively predict the probability distribution of products that may fail according to the fault description, and the prediction accuracy can be improved with the increase of the amount of data to meet the actual security needs.

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Section: Finished Product Failure Record Text Vectorizationmentioning

confidence: 99%

Data Mining Technology for Equipment Machinery and Information Network Data Resources

Zhang¹

2022

Security and Communication Networks

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“…Data mining is mining massive data using various techniques and statistical methods to obtain more useful information. Zhang [ 9 ] presented an ensemble classifier decision tree technique based on a single decision tree algorithm to evaluate HRM data. The content-based recommendation technique and the collaborative filtering recommendation method were compared to the suggested ensemble classifier decision tree algorithm.…”

Section: Introductionmentioning

confidence: 99%

Enterprise Human Resource Management Model by Artificial Intelligence Digital Technology

Jiaping

2022

Computational Intelligence and Neuroscience

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Artificial intelligence (AI) is a potentially transformative force that is likely to change the role of management and organizational practices. AI is revolutionizing corporate decision-making and changing management structures. The visible effects of AI can be observed in key competencies and corporate processes such as knowledge management, as well as consumer outcomes including service quality perceptions and satisfaction. This study aims to optimize the human resource management (HRM) process, reduce the workload of human resource managers, and improve work efficiency. Based on AI digitization technology, a salary prediction model (SPM) is designed using a backpropagation neural network (BPNN), and the Nesterov and Adaptive Moment Estimation (Nadam) algorithms are integrated to optimize the model. Next, the content information of the resumes are used to predict the hiring salary of the candidates and validate the model. Results show that compared with other optimization algorithms, the final predicted result score of the Nadam optimization algorithm is 0.75%, and the training period is 186 s, providing the best optimization effect and the fastest convergence speed. Moreover, the BPNN-based SPM optimized by Nadam has good performance in the learning process and the accuracy rate can reach 79.4%, which verifies the validity of the SPM. The outcomes of this study can provide a reference for HRM systems based on data mining technology.

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“…The technique achieved consensus among alliance members on production and HR planning. Zhang (2021) [13] proposed an Ensemble Classifier-Decision Tree algorithm to analyze HRM data, with results showing that it provided the highest accuracy and recall rate, thereby guiding enterprise development based on quantitative evaluation results. Lastly, Siyal et al (2021) [14] explored how inclusive leaders cultivate innovative work behaviors and creativity among employees in SMHR of enterprises.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The maximum characteristic root λ max of the judgment matrix A is calculated via Eq (12). 12) can be expressed as Eq (13).…”

Section: Plos Onementioning

confidence: 99%

Fuzzy comprehensive evaluation and quantitative weight analysis in structure management of human resources

Zhang

2023

PLoS ONE

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This research delves into the application effects of Fuzzy Comprehensive Evaluation (FCE) and quantitative weight analysis in the structure management of human resources (SMHR) to optimize the structure management. The research begins by analyzing the existing problems in SMHR, such as incomplete performance feedback and error-prone outsourcing decisions. By leveraging human resource management (HRM) characteristics, the researchers construct the SMHR evaluation index system. The Analytical Hierarchy Process (AHP) is employed to establish a hierarchical human resource structure model to determine the relative weight of each HRM indicator. Subsequently, the FCE method is utilized to build an SMHR optimization model, which is then scrutinized and assessed by means of an example. The findings indicate that the consistency ratio (C.R.) values of the first and second-level evaluation factors of the constructed model are less than 0.1, thus passing the consistency test and demonstrating credibility. Ultimately, the research effectively grades SMHR in the enterprise through the analysis of HRM optimization. Accordingly, this research presents a set of optimization suggestions and measures, including the establishment of a professional HRM operation team, acceleration of the construction of a professional talent team, enhancement of the intelligent level of the HRM center, and transition towards digital sharing. These proposed measures can serve as valuable experimental references for the optimization and improvement of HRM structures in future enterprises.

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Influence of data mining technology in information analysis of human resource management on macroscopic economic management

Cited by 13 publications

References 24 publications

Data Mining Technology for Equipment Machinery and Information Network Data Resources

Data Mining Technology for Equipment Machinery and Information Network Data Resources

Enterprise Human Resource Management Model by Artificial Intelligence Digital Technology

Fuzzy comprehensive evaluation and quantitative weight analysis in structure management of human resources

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