Indiana University Bloomington

Computer Science B656
Web Mining

Contact: Filippo Menczer
Offered: Spring, 2016
Capacity: 35
Algebra Required: Basic.
Contact Person for Authorization: Filippo Menczer
Instructor: Filippo Menczer
Days Per Week Offered: Two.
Syllabus: No Syllabus Avaliable
Keywords: Crawling, text classification, clustering, ranking, indexing, search, information diffusion.
Description: Machine learning techniques to mine the Web and other information networks, social networks, and social media. Crawling, indexing, ranking and filtering algorithms using content and link analysis. Applications to search, classification, recommendation, and Web intelligence. Group project on one of the topics covered in class.
Books: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data by Bing Liu, Springer, 2007.
Applied/Theoretical: Applied.
Formal Computing Lab: No
Exams: Class presentation, discussion, and a final project.
Comments: Programming is expected in this class. There is flexibility as to which language is used.