摘要:如何更好地对BIM学术热点与趋势进行分析与了解是科研人员面临的问题，本文提出一种基于数据挖掘技术的BIM学术热点与学术趋势分析方法。该方法通过SATI、Ucinet、Cite Space软件对文献题录信息进行处理，从不同形式、不同角度对数据进行挖掘与分析，发现数据信息隐藏的规律，为相关人员了解BIM学术热点与趋势提供帮助。本文从数据提取处理、BIM学术热点分析、BIM学术趋势分析三个方面进行方法讲述，为体现方法的实用性，将该方法应用于全国BIM学术会议文献数据分析中。结果表明，该方法能发挥软件之间优势互补的作用，发现当前BIM学术热点主要有基于IFC标准的数据转换与自动建模、BIM与装配式建筑等研究，及未来BIM研究侧重点将转向基础研究的学术发展趋势。

Abstract: Researchers always face a problem of how to better analyze and understand the BIM academic hot spots and trends. This paper proposes a method based on data mining technology to better analyze the BIM academic hot spots and trends, which uses SATI, Ucinet and Cite Space software to process bibliographic information. By mining and analyzing data from different forms and perspectives, the hidden laws of data information can be discovered, assisting relevant personnels to understand the academic hot spots and trends of BIM. In the paper, the method is described from three aspects of data extraction and processing, BIM academic hot spot analysis, and BIM academic trend analysis. In order to test the practicability of the method, the method is applied to the literature data analysis of BIM academic conference. Results show that the method is able to make different software complementary. And conclusions are made that current BIM researches mainly focus on data transformation and automatic modeling based on IFC Standard, BIM and PC building, etc., and that the future research focuses of BIM will turn to the academic development trend of basic research.