CSCI B659 Topics in Artificial Intelligence (3 CR)
Web Mining

Spring 2007 Schedule

Week Date Topic Readings Notes
1 1/9 Intro to course Add/Drop management
1/11 Intro to Web mining Chapter 1 Fil; Scheduling & assignment of papers
2 1/16 Web crawling Chapter 2 Fil
1/18 HN99, PSM04 Craig
3 1/23 CG-MP98, NW01 Vivek
1/25 MB00, MPS04 Fil
4 1/30 WebIR & search Chapter 3 Fil; Project proposal (1 page) & online page(s) for project due
2/1 BP98, K99 Michel
5 2/6 LG98, LG99, NCO04 Shilu
2/8 CR04, FMFV06 Fil
6 2/13 Clustering & communities Chapter 4 Fil
2/15 DH99, FLGC02 Preeti
7 2/20 BBDH00, CSG-M00 Eran
2/22 GN02, RCCLP04 Abhang
8 2/27 Learning/classification Chapter 5 Fil
3/1 J98, D98, B98 Joe
9 3/6 DDLFH90, DLL96 Helen
3/8 L91, YP97, YL99 Jonathan
10 3/13 Spring Break
3/15
11 3/20 Network analysis & modeling Chapter 7 Fil; Project progress report due (1 page max)
3/22 PPR96, BH98 Jeff
12 3/27 GKR98, CDKRRTGK99 Andrew
3/29 AJB99+HA99, BA99, BKMRRSTW00 Mike
13 4/3 Resource discovery, topical & semantic locality Chapter 8 Fil
4/5 M04a, M05, MMRV05 Fil
14 4/10 HJMPSU98, RMcC99 Praveen
4/12 CvdBD99, CPS02, DCLGG00 Carol
15 4/17 Additional topics & new trends: realistic growth models, P2P, Web 2.0 PFLGG02, M02, M04b Fil
4/19 AWMM06, HHLS05, MSM06 Shreyas
16 4/24 Project presentations
4/26 Project due: Final report (2-page WWW poster format) + online
17 5/1 at 10:15am-12:15p.m. Project demostrations (by appointment)