Application of Data Mining Technology in Enterprise Digital Human Resource Management

Abstract

The purpose of this paper is to explore the practical application of big data comprehensive mining and analysis technology in the overall human resource management work of the entire enterprise under the gradual increase in the amount of enterprise data, so as to effectively improve the overall core strategic competitiveness of the entire enterprise and improve the overall human resource management level of the entire enterprise. This article adopts the risk management theory of quantifying the characteristics of business management data, analyzes various management models in modern human resource information system management, and analyzes the entire process of modern enterprise daily operation and various types of human resource system risk management and business data. Combined with quantitative management theory, it introduces the basic concepts of business data feature mining system theory and its most common six data analysis and calculation methods. The module design examples are organically combined, and the traditional data mining analysis theory and its application are extended to the enterprise human resource project management information system. Finally, the experimental results show that the use of big data mining and analysis technology can solve the problems of human resource quality management in small- and medium-sized enterprises. The independent quantitative data mining analysis model has achieved 25% improvement in the application effect of the analysis of the types of human resources in management enterprises, the prevention of internal talent loss in management enterprises, and the performance evaluation management system of enterprises.

Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things

“…[ [9][10][11][12][13][14][15][16] Cloud computing technologies assist IoRT systems and virtual machines in terms of connectivity and scalability. IoRT devices leverage connected sensors, cloud computing and wireless technologies, and machine learning algorithms for real-time data collection as regards device control and diagnostics.…”

“…IoRT leverages computer vision and data processing algorithms, image acquisition devices, and distributed intelligence tools [9][10][11][12] for object recognition, manipulation, and control. Machine intelligence and mobile robot technologies optimize image recognition accuracy and thus cloud-based production processes and tasks can be performed effectively.…”

“…Cognitive artificial intelligence, wireless sensor and actuator networks, and remote big data management tools [5][6][7][8] and recognition across remote and synthetic simulation environments. Autonomous cognitive systems enable process monitoring and diagnosis of production line management in intelligent connectivity infrastructures [9][10][11][12], considerably improving productivity. Cloud computing technologies, image recognition and ambient intelligence tools, and context awareness algorithms [13][14][15][16] can configure trajectory paths and detect events by continuous process monitoring and data collection.…”

Research on Risk Identification in Human Resources Management

“…In recent years, some literature has focused on the study of corporate human resource management risks. Zhou [3] investigates how data mining technology can be used in corporate digital human resource management to enhance strategic competitiveness and human resource management effectiveness by applying risk management theory. Yakob et al [4] investigate the impact of Enterprise Risk Management (ERM) practices on Small and Medium Enterprises (SMEs) performance, highlighting how risk management can enhance firm value and profitability.…”

Risk Prediction of Digital Human Resource Management Based on Artificial Intelligence

“…The 21st century is a globalized era of market and information, and it is dominated by knowledge. In an environment under new economic conditions, the HRM in enterprises must make proper changes accordingly [1][2][3][4][5]. The latest in-formation technologies have greatly accelerated the digitalization progress of HRM and many useful techniques and tools have been developed for that purpose.…”