Chemical Data Mining involves the extraction of useful information from vast chemical datasets to uncover patterns, relationships, and insights that can drive research and development in chemistry and related fields. It leverages techniques from data mining, machine learning, and cheminformatics to analyze complex chemical data, aiding in tasks such as drug discovery, material design, and environmental monitoring.