Data Mining and Knowledge Discovery in Industrial Engineering

摘要

Data mining and knowledge discovery play an increasingly important role in the field of industrial engineering, which becomes highly visible considering currently available vast amounts of data being generated every day. This special issue devoted to data mining and knowledge discovery comprises 11 exciting papers. The three main research areas are meticulously discussed, including data-driven based supervisory learning, unsupervised learning, and fault identification. Furthermore, two of the papers concentrate on the data feature extraction and the computational intelligence based optimization.