About this document
Big Data Topic Analysis & Forecasting by henywidia2016 is a document available to read on EtoBox.
This paper presents a methodology for topic analysis and forecasting in science, technology, and innovation, focusing on big data research. It introduces a K-Means-based clustering approach and a similarity measure function to identify topic interactions and predict future trends using data from the US National Science Foundation. The findings aim to enhance R&D management and inform science policy through a combination of qualitative and quantitative methods in Technology Roadmapping.
- Author
- henywidia2016
- Language
- EN