科技情报数据挖掘技术的应用研究

Research on the Application of Scientific and Technological Information Data Mining Technology

随着科技领域研究成果的快速增加,如何有效管理和挖掘大量科技情报数据成为研究的重点。文中探索了科技情报数据挖掘技术的应用,以提高演化路径分析的准确性和效率。通过构建基于目标领域引文网络的信息处理方法,详细介绍了获取待处理网络,确定元素权重,通过融合权重确定目标领域演化路径的全过程。实验利用真实的科技情报数据集进行验证,实验结果显示,该方法能有效识别关键科技事件和领域演化趋势,更准确地揭示科技领域的发展脉络。该研究为科技情报数据的深入分析提供了新的视角和工具,也为相关领域的决策提供了依据。

With the rapid increase of research achievements in the field of science and technology,how to effectively manage and mine a large amount of scientific and technological intelligence data has become the focus of research.This paper explores the application of scientific and technological intelligence data mining technology to improve the accuracy and efficiency of evolutionary path analysis.By constructing an information processing method based on the citation network of the target field,the whole process of obtaining the network to be processed,determining the element weights,and determining the evolutionary path of the target field by fusing the weights is introduced in detail.The experimental results show that the method can effectively identify key scientific and technological events and field evolution trends,and can more accurately reveal the development vein of the scientific and technological field.This study provides a new perspective and tool for in-depth analysis of scientific and technological intelligence data,and also provides a basis for decision-making in related fields.