Development and Application of Interactive Data Analytics Technologies
NIMS has developed Interactive Analytics for Public and Industrial Applications (InterAPIA) which is based on the methodologies of mathematical science for data analysis. InterAPIA can enhance the interpretability of the analysis and speed up the machine learning procedures. We aim to solve data related public and industrial problems using InterAPIA.
Key Research Content
- Developing interactive visualization and analysis modules
- Developing data domain-specific modules
- Solving the problems in various area using InterAPIA
Division of Advanced Researches for Industrial Mathematics Hyun, Yoon-Kyung
Tel. +82-42-717-5736