CIS4930: Data Mining (Fall 2020)
Instructor: Peixiang Zhao
| Syllabus | Announcement | Schedule | Assignment | Resources |
Information
- There will be four assignments, each of which is designed for testing your understanding of the taught materials. It could be either programming or written analysis.
- All students are expected to follow the FSU Academic Honor Code.
- All assignments follow the "no-late" policy; That is, assignments received after the due time will receive zero credit.
Assignments
- Assignment 1 (dataset)
- Topic: Data, Data Preprocessing
- Type: written analysis and programming
- Due time/date: 11:59pm Friday 9/18
- Submission: one sbumission package (zip or tar.gz format) including the written homework (pdf) and the software package (including C/C++ source code, makefile, and readme). Submit via Canvas.
- Assignment 2
- Topic: Data Preprocessing, Frequent Pattern Mining
- Type: written analysis
- Due time/date: 11:59pm Thursday 10/8
- Submission: a pdf file submitted via Canvas.
- Assignment 3
- Topic: Classification
- Type: programming and report
- Due time/date: 11:59pm Friday 11/20
- Submission: one sbumission package (zip or tar.gz format) including the software package (source code, makefile, and readme) and the report. Submit via Canvas.
- Datasets:
(bc-train, bc-test)
(led-train, led-test).
- Assignment 4
- Topic: Classification, Clustering
- Type: written analysis
- Due time/date: 11:59pm Thursday 12/03
- Submission: a pdf file submitted via Canvas