Spring 2011 CSE6339 (Section 001, #23309)

Special Topics in Advanced Database Systems

Web Search, Mining, and Integration

Course Description: We will study papers on Web Search, Mining, and Integration, covering topics in databases, data mining, information retrieval, and the intersections of these areas. The goals of the course are: to expose graduate students to the cutting-edge of research in these areas;  to equip them with the necessary skill sets for finding jobs; to help them identify research topics and come up with preliminary works through course projects; and to prepare new students for doing research with faculty in databases, data mining, and information retrieval. Detailed topics include:

• Web Search
  • search engine architecture
  • crawling
  • indexing
  • link analysis (HITS, PageRank)
  • large-scale systems (MapReduce)
• Wed Data Mining
  • text classification and clustering
  • clustering of Web search results
• Web Data Integration
  • information extraction
  • answering queries using views
  • schema matching
  • Deep Web
• Other Topcis
  • Web 2.0
  • social networks
  • Semantic Web

Prerequisites: CSE 3330/5330  Database Systems I     or      CSE 5334  Data Mining       or     similar courses    or     consent of instructor

Reference Textbook (Not Required)

• Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. (This book is available online at http://www-csli.stanford.edu/~hinrich/information-retrieval-book.html)
• Jiawei Han and Micheline Kamber. Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann Publishers, March 2006. ISBN 1-55860-901-6.
• Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, Introduction to Data Mining, Addison-Wesley, 2006. ISBN 0-321-32136-7.

Grades

There is no exam. We will focus on paper review, presentation, and project.

• Paper Review                            25%
• Paper Presentation                     20%
• In-Class Quiz                            15%
• Course Project                          40%    Can be done individually or in pairs.
  • Proposal                           5%
  • Progress Report               10%
• Presentation, Demo, and Final Report     25%

Announcements: Stay tuned and make sure to check BlackBoard frequently. Important announcements will be posted there.

Assignments and Deadlines

• All the assignments must be submitted through BlackBoard. We will NOT take hardcopy or email submission, unless the school verifies that BlackBoard was malfunctioning or unavailable.
• Everything is due by 11:55pm on the due date. The deadline is automatically managed by BlackBoard. You can still turn in assignment after the deadline. However, you automatically lose 5 points per hour after the due time, till you get 0. (Each individual assignment is 100 points.) We cannot waive the penalty, unless there was a case of illness or other substantial impediment beyond your control, with proof in documents from the school.

• Every student must equally contribute to group project (if you are not doing it individually). Only one student in a group needs to upload project-related assignments into BlackBoard.

Regrading: Regrading request must be made within 7 days after we post scores in BlackBoard. TA will handle regrade requests. If student is not satisfied with the regarding results, you get 7 days to request again. The instructor will regrade, and the decision is final.

BlackBoard:

Log in to BlackBoard with your NetID and password. We use BlackBoard for: (1) Announcements; (2) Assignment Submission; (3) Discussion;  (4) Releasing materials, assignments, scores and grades.

University calendar: Spring 2011