Abstract
The purposes are to manage human resource data better and explore the association between Human Resource Management (HRM), data mining, and economic management. An Ensemble Classifier-Decision Tree (EC-DT) algorithm is proposed based on the single decision tree algorithm to analyze HRM data. The involved single decision tree algorithms include C4.5, Random Tree, J48, and SimpleCart. Then, an HRM system is established based on the designed algorithm, and the evaluation management and talent recommendation modules are tested. Finally, the designed algorithm is compared and tested. Experimental results suggest that C4.5 provides the highest classification accuracy among the single decision tree algorithms, reaching 76.69%; in contrast, the designed EC-DT algorithm can provide a classification accuracy of 79.97%. The proposed EC-DT algorithm is compared with the Content-based Recommendation Method (CRM) and the Collaborative Filtering Recommendation Method (CFRM), revealing that its Data Mining Recommendation Method (DMRM) can provide the highest accuracy and recall, reaching 35.2% and 41.6%, respectively. Therefore, the data mining-based HRM system can promote and guide enterprises to develop according to quantitative evaluation results. The above results can provide a reference for studying HRM systems based on data mining technology.
Highlights
With the continuous reform and development of the economic system, enterprises’ development and competition are changing continually
Content-based Recommendation Method (CRM) and Collaborative Filtering Recommendation Method (CFRM) are included for comparative analysis to verify the effectiveness of the proposed Data Mining Recommendation Method (DMRM) based on data mining
The designed algorithm is applied to the evaluation management and talent recommendation of Human Resource Management (HRM)
Summary
With the continuous reform and development of the economic system, enterprises’ development and competition are changing continually. Data mining technology has developed rapidly in recent years It is a data analysis method characterized by the ability to extract potential information and knowledge. Regarding the application of data mining technology in management systems, Marozzo et al (2018) applied cloud software technology to describe the design and implementation of the data mining cloud framework They found that the system can integrate visual workflow language with software service models to minimize the programming workload [9]. Shakil et al (2020) investigated the developmental process of HRM and supply chain management informatization They analyzed relevant research on the Scopus database using scientific analysis tools, classified and discussed the results, and further explored HRM informatization [11]. The application potential of data mining in HRM and economic management can be revealed through the performance analysis of the algorithm and the characterization of the assessment management and the talent recommendation modules in the HRM system. The innovative point is the weighted integration of multiple decision tree algorithms to make full use of different single decision tree algorithms’ advantages and improve the classifier’s effects
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