Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
ITIS 4510/5510 Web Mining Spring 2014 Overview Class hour 5:00 – 6:15pm, Tuesday & Thursday, Woodward Hall 135 Office hour 3:00 – 5:00pm, Tuesday, Woodward Hall 333E Instructor - Dr. Xintao Wu email - [email protected] Office – Woodward Hall 333E Webpage http://coitweb.uncc.edu/~xwu/5510/5510.htm Textbook Bing Liu. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (2nd) Springer, 2011 Online information, http://www.cs.uic.edu/~liub/WebMiningBook.html Topic Description Introduction to basic data mining: association and sequential mining, classification, clustering Crawling, Web search and information retrieval Social network analysis Structure data extraction, information integration Opinion mining and sentiment analysis Web usage mining Course Prerequisite Data Structures Familiarity with programming with Java or C++ is assumed Probability concept Knowledge of linear algebra is a big plus Grading Composition Homework and quiz 10% Project 30% Midterm 20% Final 40% Project Reports Late policy: No acceptable. Hard copy is preferred Electronic submission (word or pdf) accepted Project Web Data Analysis Project Each group consists 3-4 students Develop/implment/apply techniques on Web Data Individual Research Project More information http://coitweb.uncc.edu/~xwu/5510/proj.htm Midterm & Final Open books and notes No discussion Cumulative No makeup Class attendance is not required Bonus is expected