Understanding Online Learning Jiye Ai University of Missouri Columbia Columbia / James Laffey University of Missouri Columbia Columbia / /
Holiday
Christmas / /
IndustryTerm
data mining techniques / interactive learning services / Web content / online customer data / Web data warehouse / Web usage mining / Web proxy / Web usage / learning systems / Online Learning / potential online shoppers / Online Analytical Web Usage Mining / Data mining / Web structure mining / information systems / Web user / Web systems / online learning behaviors / software agent / students Web / Web documents / Online Learning Jiye Ai University of Missouri Columbia Columbia / online education / Web forum / decision tree software / classifier training algorithm / given Web site / software applications / online learning activities / proxy server / student management tool / online retailers / Web Mining / Web Mining Web usage mining / mining / Web structure approaches / Web server / online shoppers / data pre processing / Web domain / data mining application / Web mining approaches / course Web / Web data / data mining analyses / /
Organization
Discovering Internet Marketing Intelligence / University of Missouri / /
Position
researcher / /
ProvinceOrState
Washington / California / /
PublishedMedium
Machine Learning / Communications of the ACM / /
Technology
data warehouse / Machine Learning / PDF / neural network / classifier training algorithm / proxy server / HTTP / Data mining / Web server / /
MERLOT Journal of Online Learning and Teaching Vol. 3, No. 2, June 2007 Web Mining as a Tool for Understanding Online Learning