DocumentCode :
1659308
Title :
An OLAM framework for Web usage mining and business intelligence reporting
Author :
Hu, Xiaohua ; Cercone, Nick
Author_Institution :
DMW Software, San Mateo, CA, USA
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
950
Lastpage :
955
Abstract :
Web usage mining describes the procedure, which mines Web data (clickstream, purchase information, etc.) to determine usage patterns. Web usage mining is needed in order to understand and serve e-commerce customers better. We present a general OLAM (on-line analytical mining) framework for Web usage mining and business intelligence reporting. Our OLAM framework consists of four phases: data capture, Webhouse construction (clickstream marts), pattern discovery and pattern evaluation. We describe the problems and challenging issues in each phase in detail and provide a general approach and guidelines to Web usage mining and business intelligence reporting for e-commerce
Keywords :
data mining; electronic commerce; information resources; information retrieval; software agents; OLAM framework; Web usage mining; Webhouse construction; business intelligence reporting; clickstream; data capture; e-commerce customers; online analytical mining framework; pattern discovery; pattern evaluation; purchase information; usage patterns; Computer science; Data mining; Disk recording; Guidelines; Internet; Pattern analysis; Performance analysis; System performance; Uniform resource locators; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
Type :
conf
DOI :
10.1109/FUZZ.2002.1006632
Filename :
1006632
Link To Document :
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