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Data Mining |
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Location: UCSC Silicon Valley Center at NASA (Mountain View) UCSC Main campus: Room , Baskin Engineering Room 156 Time: 6pm-9:30pm Wednesday Instructors: Yi Zhang (yiz + 245 @ soe.ucsc.edu) Ram Akella (akella (at) soe.ucsc.edu) Office hours at NASA: 5:15-5:45pm Wednesday (at the instructors’ office) Office hour at UCSC: 4pm Tuesday (E2-565) TAs: Anita KrishnaKumar (anita (at) soe.ucsc.edu) Jyotsna Gangwar (jyotsna (at) soe.ucsc.edu) TA hour at SVC: 5:15-5:45pm Wednesday (SVC 2095) WebCT (for homework submission) |
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The course is lecture based. Students are expected to read some book chapters and research papers. Students will be evaluated based on homework, final exam, and course project. Required Textbook: Tan, Steinbach, Kumar, Introduction to Data Mining, Addison Wesley./Pearson, 2006 Errata Course Reader (TBA from UCSC staff) Other books: David Hand, “Principal of Data Mining”, MIT Press Jiawei Han and Micheline Kamber "Data Mining: Concepts and Techniques", Morgan Kaufmann. Trevor Hastie, Robert Tibshirani and Jerome Friedman , "The Elements of Statistical Learning: Data Mining, Inference, and Prediction". Ian H. Witten, Eibe Frank,, Data Mining: Practical Machine Learning Tools and Techniques, Second Edition, Morgan Kaufmann Soumen Chakrabarti, "Mining the Web: Statistical Analysis of Hypertext and Semi-Structured Data", Morgan Kaufmann. Modeling the Internet and the Web, Baldi, Frasconi, Wiley Grading: Grades will be based on:
FAQ: 1. How to access course material from outside UCSC intranet?
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