Ishikawa, JESS, and Visual Analytics for Engineering
Aparna S. Varde, Jianyu Liang, Zhaotong Yang, Richard D. Sisson · 2022 IEEE International Conference on Big Data (Big Data) · 2022
Domain-specific big data poses issues in knowledge discovery and decision support given its many Vs such as volume, variety, and visualization. In this work, we propose solutions via Ishikawa diagrams, JESS (Java Expert System Shell) with rule discovery, as well as visual analytics. We deploy data science and domain models, targeting engineering and scientific domains. Our results yield high accuracy, efficiency and cost-effectiveness.