CSCI5523
CSCI 5523 - Introduction to Data Mining (3 Cr.)
Computer Science and Engineering Administration (11108)
TIOT - College of Science and Engineering
CSCI 5523 - Introduction to Data Mining (3 Cr.)
Course description
Data pre-processing techniques, data types, similarity measures, data visualization/exploration. Predictive models (e.g., decision trees, SVM, Bayes, K-nearest neighbors, bagging, boosting). Model evaluation techniques, Clustering (hierarchical, partitional, density-based), association analysis, anomaly detection. Case studies from areas such as earth science, the Web, network intrusion, and genomics. Hands-on projects.
prereq: 4041 or equiv or instr consent
prereq: 4041 or equiv or instr consent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Periodic Fall & Spring