Introduction to Data Mining

Course classification: 
Elective Subject for Major
Course number: 
M1522.001400
Year: 
Third Year
Credit: 
3

Data mining refers to theories and techniques for finding useful patterns from massive amount of data. Data mining has been used in high impact applications including web analysis, fraud detection, recommendation system, cyber security, etc. This course covers important algorithms and theories for data mining. Main topics include mapreduce, finding similar items, mining frequent patterns, link analysis, data stream mining, clustering, graphs, and mining big data.