In today's society, the advancement of computer networks and IoT network sensing technology has led to a significant increase in the amount of data available. Dealing with this massive amount of data solely using human capabilities is impractical, and the need for computer-assisted analysis and automation has grown. That's where the field of intelligent reasoning comes in. We research the fundamental techniques and applications of machine learning and data mining to enable computers to extract knowledge and discover insights from what we call "big data." The fundamental techniques encompass a wide range of methods, including exploration, search, statistics, probability calculations, databases, and the fusion of these theories, methods, techniques, and system tools. Furthermore, we apply these foundational research outcomes in various fields such as science, sensing, information networks, quality and risk management, healthcare, security, marketing, finance, and more to make a valuable impact.