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Data Mining

Instructor:
Hana Khamfroush
628
Credits:
3.0
001
Building:
Enoch Grehan Journalism Bldg
Room:
Rm.203
Semester:
Spring 2025
Start Date:
End Date:
Name:
Data Mining
Requisites:

Prereq: CS 515, CS 505, or consent of instructor.

Class Type:
LEC
12:30 pm
1:45 pm
Days:
TR

The course will introduce the fundamental principles and main techniques in the area of data mining and its applications. The topics covered include association rule mining, clustering, classification, feature selection, similarity search, data cleaning, privacy and security issues, as well as a wide spectrum of data mining applications in the area of biomedical informatics, bioinformatics, financial market study, image processing, network monitoring and social service analysis.

The course will introduce the fundamental principles and main techniques in the area of data mining and its applications. The topics covered include association rule mining, clustering, classification, feature selection, similarity search, data cleaning, privacy and security issues, as well as a wide spectrum of data mining applications in the area of biomedical informatics, bioinformatics, financial market study, image processing, network monitoring and social service analysis.

CS