Technology Evaluation with HUP-Growth Mining Algorithm
AbstractTechnology evaluation is quite important field of technology management. Potential technology investments can be assessed thanks to technology evaluation methods in practice. Patent documents are extensively used for technology evaluation in the literature. The use of patent documents provides an objective evaluation of technology in real life engineering applications. In this study, patent documents are analyzed based on mining high utility itemsets. Mining high utility itemsets is a data mining approach. HUP-growth mining algorithm is one of the algorithm proposed for mining high utility itemsets in the literature. HUP-growth mining algorithm is utilized for the analysis of patent documents in this study. To show the application of the algorithm in the field of technology evaluation, all patents related to geothermal energy are retrieved from the United States Patent and Trademark Office (USPTO). The results obtained from this study show that HUP-growth mining algorithm can be easily and effectively used for technology evaluation based on patent documents.