The aim of this study is to propose a clustering-based approach based on patent information for the evaluation of candidate emerging technologies. The proposed approach uses patent analysis and clustering approaches in data mining. Patent analysis is a widely used method for the evaluation of candidate emerging technologies in the literature. The clustering algorithms used in this study are self-organizing maps, expected maximization and density-based clustering. A real-life application on dental implant technology is presented to show how the proposed approach works in practice. The contributions of this study are twofold. This study contributes to the literature by taking into account claims, forward citations, backward citations, technology cycle times, and technology scores for the evaluation of candidate emerging technologies. Second, the evaluation of dental implant technology with respect to claims, forward citations, backward citations, technology cycle times, and technology scores has not been conducted so far. The results obtained from the application shows that dental implant technology is an candidate emerging technology and the proposed approach can be easily conducted in real life case studies.

中文翻译：

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基于聚类的候选新兴技术评估方法

本研究的目的是提出一种基于专利信息的聚类方法，用于评估候选新兴技术。所提出的方法在数据挖掘中使用专利分析和聚类方法。专利分析是文献中广泛使用的评估候选新兴技术的方法。本研究中使用的聚类算法是自组织图、预期最大化和基于密度的聚类。介绍了牙种植体技术的实际应用，以展示所提出的方法在实践中是如何工作的。这项研究的贡献是双重的。本研究通过考虑用于评估候选新兴技术的声明、前向引用、后向引用、技术周期时间和技术分数为文献做出贡献。第二，迄今为止，尚未对牙种植体技术在索赔、前向引用、后向引用、技术周期时间和技术分数方面进行评估。从应用程序中获得的结果表明，牙种植体技术是一种候选的新兴技术，并且所提出的方法可以很容易地在现实生活案例研究中进行。