CS665 Advanced Data Mining

Spring 2014 - U Kang

- June 16 : The final exam is at 10:30-12:00. Final exam guide is here.
- June 11: Poster session at the classroom. Prepare 8 pages of slides.
- June 2 : announcements for future schedules.
- May 7 : Project progress presentation (7 min. presentation + 3 min. Q&A per each team).
- Apr. 30 : Project progress due.
- Apr. 21 : Midterm exam. The midterm exam guide is here.
- Apr. 14 : Unil the end of the semester, we will have short quizes for all the classes that have the mandatory reading. The quiz is about the homework, and starts at the beginning of class.
- Apr. 2 : Project proposal presentation (5 min. presentation + 3 min. Q&A).
- Mar. 31 : Project proposal due. Also, submit the first 'paper critique' homework for the mandatory reading.

The course covers advanced algorithms for mining and managing big data. Topics include MapReduce/Hadoop, approximation, graph compression, power laws, community detection, graph structure analysis, triangle counting, link analysis, spectral graph analysis, tensor analysis, and anomaly detection.

- Instructor: U Kang (ukang at cs.kaist.ac.kr)
- N1 605, ph (042)350-3565
- Office hour: Mon 13:00-14:00

- TA: Hamyung Park (jangunmp1 at gmail.com), N1 624, office hour: Tue 14:00-15:00
- Class meets: Mon, Wed 10:30~11:45, E3-1 Room 2445
- URL of this web page: http://web.kaist.ac.kr/~ukang/courses/14S-665

- 10% Homework
- 20% Midterm
- 30% Final
- 40% Project

- No delay penalties, for medical etc emergencies (bring doctor's note).
- Each person has 4 'slip days' total, for the whole semester. 10% per day of delay, after that.