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A data warehouse is a centralized, topic oriented, integrated, non volatile, and time-varying information storage designed to support management decision-making processes. It integrates data from multiple sources, providing a consistent view, allowing users to analyze and mine data to discover hidden patterns, trends, and relationships. Data Mining is the process of discovering valuable information through algorithms from a large amount of data, covering various technologies such as classification, clustering, association rule learning, sequence pattern mining, and anomaly detection. RAPIDMINER simulation shows that under certain evaluation criteria, the K-Means algorithm has a role in the university teaching management system. The accuracy of data warehousing and data mining, data warehousing and data mining time are better than the original data management mode.

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Research on the Application of Data Warehouse and Data Mining Technology in the Teaching Management System of Universities

  • 会议论文

  • 发表日期：

    2026年

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  • Yuanfen Qu,
  • Ping Wang

摘要

A data warehouse is a centralized, topic oriented, integrated, non volatile, and time-varying information storage designed to support management decision-making processes. It integrates data from multiple sources, providing a consistent view, allowing users to analyze and mine data to discover hidden patterns, trends, and relationships. Data Mining is the process of discovering valuable information through algorithms from a large amount of data, covering various technologies such as classification, clustering, association rule learning, sequence pattern mining, and anomaly detection. RAPIDMINER simulation shows that under certain evaluation criteria, the K-Means algorithm has a role in the university teaching management system. The accuracy of data warehousing and data mining, data warehousing and data mining time are better than the original data management mode.