A framework for efficient and anonymous web usage mining based on client-side tracking

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2356, Issue , 2002, Pages 113-144

  Shahabi, Cyrus ^a   Banaei Kashani, Farnoush ^a  

^a University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; ECONOMIC AND SOCIAL EFFECTS; SCALABILITY; WEBSITES;

APPLICATION REQUIREMENTS; ECONOMIC POTENTIALS; FEATURE MATRICES; NAVIGATION PATTERNS; SIMILARITY MEASURE; SYNTHETIC AND REAL DATA; WEB PERSONALIZATION; WEB USAGE MINING;

DATA MINING;

EID: 84943146445     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45640-6_6     Document Type: Conference Paper

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