IE5640 (Data Mining for Engineering Applications) course reviews and ratings at Northeastern (NEU). Average rating 4.5/5. Compare professors with RateMyProfessor reviews.
Introduces data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from large data sets that occur in engineering domains such as manufacturing, healthcare, sustainability, and energy. Topics include data reduction, data exploration, data visualization, concept description, mining association rules, classification, prediction, and clustering. Discusses data mining case studies that are drawn from manufacturing, retail, healthcare, biomedical, telecommunication, and other sectors.
Data updated October 2026.