Research Director
Takeaki Uno
Principles of Informatics, National Institute of Informatics
Professor
Outline
This project studies ways to clarify small and middle size structures in big data so that complicated big data will become small understandable data. Data analysis such as machine learning becomes easy to design, visualization becomes clear, and the solutions will have connections to human understandings. Particlization discloses latent structures in customer data, economy data, and social networks, and support inovations in new businesses on information technologies through useful data analysis.
