Abstract
Data mining is currently a frontier research topic in the field of information and database technology. It is recognized as one of the most promising key technologies. Data mining involves multiple technologies, such as mathematical statistics, fuzzy theory, neural networks, and artificial intelligence, with relatively high technical content. The realization is also difficult. In this article, we have studied the basic concepts, processes, and algorithms of association rule mining technology. Aiming at large-scale database applications, in order to improve the efficiency of data mining, we proposed an incremental association rule mining algorithm based on clustering, that is, using fast clustering. First, the feasibility of realizing performance appraisal data mining is studied; then, the business process needed to realize the information system is analyzed, the business process-related links and the corresponding data input interface are designed, and then the data process to realize the data processing is designed, including data foundation and database model. Aiming at the high efficiency of large-scale database mining, database development tools are used to implement the specific system settings and program design of this algorithm. Incorporated into the human resource management system of colleges and universities, they carried out successful association broadcasting, realized visualization, and finally discovered valuable information.
Highlights
Data mining is the process of discovering and extracting hidden information or knowledge from large databases or data warehouses [1]
Human resource management faces massive amounts of data and urgently needs a technology to discover valuable knowledge [5]. e current database system can efficiently realize data entry, query, statistics, and other functions, but it cannot find the relationships and rules existing in the data [6]
The workload of local frequent itemsets mining is reduced a lot. e classification of the results in this way generally meets the expectations of the evaluation, that is, the classification is reasonable and can give the performance evaluation results of the personnel
Summary
Data mining is the process of discovering and extracting hidden information or knowledge from large databases or data warehouses [1]. Data mining technology can extract human resource information from many databases about the work situation of personnel in the organization [3]. Agrawal et al proposed an important method for mining association rules between item sets in a customer transaction database.
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