data mining techniques / client-side web usage data acquisition system / data acquisition server / web server log / web user access patterns / web users / cluster miner / web-site design decisions / web personalization requirements / Web Usage Mining / applet technology / recommendation systems / web-sites / large web-sites / user-web interactions / web browser / classical data mining technique / on-line and anonymous web personalization / data mining / acquisition-enabled web-site / web user / hierarchical clustering algorithm / web-sites requiring user registration / web information system / Web Mining domains / web server logs / web-site4 / target advertising / Web Content Mining / i.e. application server / web usage data / web personalization applications / web documents / real-time analysis / real-life web-sites / web information systems / web-site / proxy server / web browser cache / stateless protocol / on-line component / actual web browsing purpose / Web Mining / heuristic algorithms / anonymous web personalization / predictive algorithms / web server / Web Usage Mining Based / typical data mining techniques / on-line mining / web personalization / fuzzy relational clustering algorithm / web-page / /
Organization
Integrated Media Systems Center / University of Southern California / Los Angeles / Client-Side Tracking Cyrus Shahabi and Farnoush Banaei-Kashani Department of Computer Science / /
Position
cluster miner / use Markov model for this purpose / /
ProgrammingLanguage
Java / HTML / JavaScript / /
ProvinceOrState
Southern California / California / /
PublishedMedium
Machine Learning / /
Region
Southern California / /
Technology
HTTP protocol / fuzzy relational clustering algorithm / classical association rule Apriori algorithm / stateless protocol / clustering algorithm / Machine Learning / HTML / hierarchical clustering algorithm / Java / Proxy server / Java applet technology / HTTP / data mining / caching / JavaScript technology / business intelligence / web server / /
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking Cyrus Shahabi and Farnoush Banaei-Kashani Department of Computer Science, Integrated Media Systems Center, University of Southern Cal