Mining and Knowledge Discovery (2 Units; L = 15; P = 45)
Course Outline
Introduction to Data Mining and Knowledge Discovery. Data Preparation. Exploratory Data Analysis. Classification and Prediction. Association Rule Mining. Clustering. Text Mining. Web Mining. Social Network Analysis. Time Series Analysis. Ensemble Methods. Deep Learning. Dimensionality Reduction. Feature Selection. Evaluation and Validation. Big Data. Cloud Computing. Applications and Case Studies.
- Teacher: LMS Admin