Design Mechanism of Intelligent Information System for College Archives Based on Data Mining Technology

The intelligent information system for college archives with data mining technology was developed to enhance the management and utilization of archival resources of academic institutions. A decision tree algorithm including entropy and information gain, a CART algorithm, and a pruning technique are used in the system for data classification and screening. Based on the ID3 algorithm, the system was designed considering the identification of target datasets, complexity considerations, and execution methodologies. The system was constructed based on requirement analysis, network and program architecture design, functionality design, and database conceptual design. Through systematic analysis and design, the system streamlines archival management tasks, including storage, retrieval, borrowing, and returning of archival materials. By using data mining technology, the system facilitates efficient data processing, enhances decision-making capabilities, and optimizes the utilization of college archives, ultimately contributing to the advancement of academic research and the preservation of institutional knowledge.