DATA 5300 - Data Mining 3

DATA 5300 Data Mining. (3) This course presents exploratory techniques and analytical models for discovering meaningful patterns and insightful future trends in data. It covers descriptive and predictive data mining models for information retrieval and forecasting. Best practices for data mining are discussed in topics including, data preparation and cleaning, data transformation and manifold learning, data fusion, data modeling for knowledge representation (graph and decision trees), data importance ranking and selection, data-driven model evaluation and interpretation for decision making. Examples are drawn from web mining, spatial and time-series data mining, anomaly detection, and learning from big data sets. Prerequisite(s): DATA 5050 and DATA 5100.