CSE 4334/5334 Data Mining - Section 001
Fall 2021, Modality: Section 001: ONLINE
Instructor(s):
Prof. Sharma Chakravarthy
Office Number:
632 ERB
(Note: On TEAMS 2212 CSE 5334
001 5334-office-hrs channel)
Channel link:
TA: Mr. Enamul Karim, enamul.karim@mavs.uta.edu
Office Hours: TBD
(On TEAMS 2212 CSE 5334 001 5334-office-hrs channel)
Channel link:
Section Information: CSE 5334 – 001
Time and Place of Class Meetings:
Tu/Th
9:30 am to 10:50 am
(On TEAMS 2212 CSE 5334 001
5334-lectures channel)
See canvas for projects and their submission information!
WikiBook on Data minimg algorithms in R
Syllabus (pdf) revised on 01/25/2021
Course Schedule (pdf)
Course Overview (pdf, 4 per page)
Course Introduction (pdf, 4perpage)
Module II (Clustering + others)
Module III (Association rules)
Modue IV (Anomaly detection, graph mining)
Final thoughts and conclusions (pdf, 4 per page)
see canvass (uta.instructure.com) for ALL project related information and submission of projects!
Distribution of grades for tests:
Test 1: 12% (non-comprehensive)
Test 2: 13% (non-comprehenive)
Test 3: 15% (Comprehensive)
Total 40%
distribution of grades for projects:
project 1: 15%
project 2 15%
project 3: 15%
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Total 45%
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Polly quiz 10%
attendance, class participation (asking questions) , and project presentation: 5%
see course syllabus
Last Updated: 01/25/21