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AP/ITEC 4305 3.0A – Web Mining Summer 2016 Class information Instructor: Email: Lecture time: Location: Office hours: Office: Course website: Xiangdong An [email protected] R 18:00-21:00 SC 216 M 16:30-17:30 or by appointment TEL 3043 moodle.yorku.ca Course Description Web mining is the application of data mining techniques to discover useful information from the Web. This course provides an overview of relevant techniques from data mining and information retrieval and their applications in e-commerce and Web information systems. Prerequisites: ITEC 1000 3.0, ITEC 1010 3.0, ITEC 1620 3.0, ITEC 2610 3.0, ITEC 2620 3.0, MATH 1190 3.0, MATH 2320 3.0, MATH 2565 3.0 plus ITEC 3220 3.0, ITEC 3230 3.0, ITEC 4020 3.0 PRIOR TO FALL 2009: Prerequisites: General prerequisites. Course credit exclusion: AK/ITEC 4305 3.00. Required Textbook Bing Liu, Web Data Mining: Exploring Hyperlinks, Contents and Usage Data, Springer, 2007, ISBN: 978-3-540-37881-5. Evaluation Assignments Final 60% 40% Late Policy & Academic Honesty Late assignments are not accepted. No make-up exam is provided. You must write the deferred exam scheduled by the SIT if you can’t write the final exam scheduled by the Registrar Office. While you are encouraged to work with classmates as part of your educational experience, you must submit independent work adhering to the University policy on academic honesty. Tentative Schedule • • • • • • • • • Introduction to WWW and Web Mining Systems Learning and Knowledge Discovery from the Web Information Retrieval (IR) and Web Search Web Crawling and Information Integration Web Link Analysis such as Social Network Analyis, PageRank and HITS Opinion and Sentiments Mining Web Aspect Search and Mining Web Usage Mining Web Mining Applications such as Web Blogs Mining and Online Medical Data Analysis