CIS595-Graduate Seminar

Knowledge Discovery and Data Mining

Fall 2000

Instructor

• Vasileios Megalooikonomou, email: vasilis@cis.temple.edu
• Office: 314 Wachman Hall, phone: 215-204-5774
• Office Hours: M 3-5pm, Tu 1-2pm or by appointment

Class

• Meets: Tu 7:25-9:55pm, room: Tuttleman Learning Center 302

E-mail

• The mailing list cis595-F00 will be created for the class and it will be used to send messages about the presentations, projects, and other topics. I expect that you read your email regularly. Otherwise you may miss important information.

Course Syllabus

Announcements

• Invited lecture by Prof. Zoran Obradovic (10/24)
• Please send me an email to sign up for a presentation
• Sign-up list for presentations

Projects

• List of projects
• Software
• Grading Scheme

Other documents available electronically

• Papers and presentations
• Guidelines for presentations
• Hints for giving a good talk (by Bruce Donald at Dartmouth College)
• Other handouts

Other resources

• ACM SIGKDD (Knowledge Discovery and Data Mining) home page.
• ACM SIGMOD (Management of Data) home page.
• Software: Tools for Data Mining and Knowledge Discovery
• Machine Learning Database Repository at UCI
• Data Mining in Molecular Biology Databases
• IBM - QUEST Data Mining Project
• Free/public database software
• StatLib (statistical tools and datasets)
• Numerical Recipes in C (e-copy)
• Heikki Mannila's Papers at the University of Helsinki.
• Shinichi Morishita's Papers at the University of Tokyo. Also, his Recent Papers on genome mining.
• CACM, Nov., 1996 Special Issue on Data Mining.
• Univ. of Washington/Microsoft Summer, 1997 Institute on data mining.
• J. Gehrke. W.-Y. Loh, R. Ramamkrishnan, Tutorial on Classification from the 1999 KDD Conference. PDF.