Online and incremental mining of separately-grouped web access logs

• Main Authors: WOON, Yew-Kwong, NG, Wee-Keong, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2002
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1016; http://doi.ieeecomputersociety.org/10.1109/WISE.2002.1181643
• Institution: Singapore Management University

The rising popularity of electronic commerce makes data mining an indispensable technology for business competitiveness. The World Wide Web provides abundant raw data in the form of web access logs, web transaction logs and web user profiles. Without data mining tools, it is impossible to make any s...