COMPARISON OF INTERESTINGNESS MEASURES FOR WEB USAGE MINING: AN EMPIRICAL STUDY

DOI10.1142/S0219622007002368zbMath1135.68385OpenAlexW2006062995MaRDI QIDQ3502954

Xiangji Huang

Publication date: 20 May 2008

Published in: International Journal of Information Technology & Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219622007002368

zbMATH Keywords

association rule mininginterestingness measuressequential pattern miningWeb log mining

Mathematics Subject Classification ID

Database theory (68P15)

Related Items (5)

INTERNET MARKETING BUDGET ALLOCATION: FROM PRACTITIONER'S PERSPECTIVE ⋮ ROUGH SET-BASED DECISION TREE USING A CORE ATTRIBUTE ⋮ COMPLEXITY AND FAMILIARITY WITH COMPUTER ASSISTANCE WHEN MAKING ILL-STRUCTURED BUSINESS DECISIONS ⋮ MINING SIMPLIFIED FUZZY IF-THEN RULES FOR PATTERN CLASSIFICATION ⋮ PATTERN RECOGNITION OF LONGITUDINAL TRIAL DATA WITH NONIGNORABLE MISSINGNESS: AN EMPIRICAL CASE STUDY

Uses Software

• SPADE

Cites Work

• SPADE: An efficient algorithm for mining frequent sequences
• Unnamed Item

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