EE226 Big Data Mining

Course Instructor: Liyao Xiang
Course TA: Hui Xu

Contact

Liyao: xiangliyao08 [at] sjtu [dot] edu [dot] cn
Hui: xhui_1 [at] sjtu [dot] edu [dot] cn

Office Hour

Time: Every Friday 8-9PM
Location: Week 1-4, 9-12 at No. 1 Software Building (软件楼) Room 1106-1
Week 5-8, 13-16 at 电信群楼1号楼4楼咖啡屋

Course Overview

1. Introduction to Data Mining Slides.
2. Fundamentals of Data Mining Slides.
3. Basic Data Mining Alg. Slides.
4. Supervised Learning 1 (Quiz 1)
5. Supervised Learning 2 (Release course work)
6. Supervised Learning 3
7. Unsupervised Learning (Quiz 2)
8. Graphical Prob. Models 1 (Course work due; Release Assignment)
9. Graphical Prob. Models 2 (Assignment due)
10. Knowledge Graphs (ACEMAP Introduction by Xu) + In-class test
11. Learning to Rank
12. Reinforcement Learning
13. Adversarial Attacks
14. Privacy-Preserving Data Mining
15. Course Review (Quiz 3)
16. Poster Session (Define a data mining problem -> Stating the difference from previous works -> Choosing a model to solve it -> Implementation -> Experimental results -> Report -> Poster)