This course introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to scalability and efficiency. Topics covered in this course include data preprocessing, data warehousing, frequent pattern analysis, classification, clustering, outlier analysis, tools and technologies for data mining and algorithms for mining complex data.
Prerequisites