Data mining techniques can be classified into the following categories: classification and prediction, clustering, association rules, and sequential patterns. Data mining techniques have also been extended to deal with unstructured documents (referred to as text mining). This course will be devoted to allow students understand the concepts of data mining and text mining, explore some interesting data/text mining applications (e.g., event detection and tracking, patent mining, biomedical literature-based discovery, pharmacovigilance data mining, etc.), and identify new data/text mining research issues and applications.