CS 525 Data Mining Select Term:
Data mining can be viewed as lossy data reduction and learning techniques that are designed to handle massive data sets containing large numbers of categorical and numeric attributes. This course covers topics in data mining and knowledge discovery structured and unstructured databases such as data integration, mining, and interpretation of patterns, rule-based learning, decision trees, association rule mining, and statistical analysis for discovery of patterns, evaluation and interpretation of the mined patterns using visualization techniques.
SU Credits : 3.000
ECTS Credit : 10.000
Prerequisite : -
Corequisite : -