Mathematics The University / Business Technology Institute The University / /
IndustryTerm
adaptive Web sites / online recommendation / Web server log / Web log / means algorithm / Web data model / Web usage mining / Web site designers / particular Web log files / online organizations / Web log files / Web server session / data mining / Web topology / e - business / session data mining / Web structure mining / Web log analysis / data mining algorithms / Web access patterns / given Web log file / Web log file / cancatenation operator / data mining algorithms can / online customer behavior analysis / prototypes algorithm / Web structures / Web site paths / huge Web data / type algorithm / Web log data elements / Web log data / Web mining / e-commerce environment / Web site structure / mining / e - commerce / Web server / modes algorithm / Web personalization / Web Access Sessions / real Web log files / data-driven mining process / /
MusicAlbum
Time / Request / Bytes / Status / /
Organization
Wai-Ki Ching Department / Research Grant Council / National Aeronautics and Space Administration / University of Hong Kong / Environmental Protection Agency / /
Person
Wai-Ki Ching / Grant Nos / Joe Ng / Michael K. Ng / David W. Cheung / /
Position
cube model for representing sessions as follows /
ProgrammingLanguage
SQL / /
ProvinceOrState
Florida / /
Technology
type algorithm Algorithm / so clustering algorithms / type algorithm / modes algorithm / clustering algorithm / analysis algorithms / existing data mining algorithms / two clustering algorithms / David W. Cheung E-Business Technology / prototypes algorithm / data mining / means algorithm / Web server / /
A Cube Model for Web Access Sessions and Cluster Analysis Zhexue Huang, Joe Ng, David W. Cheung E-Business Technology Institute The University of Hong Kong jhuang,kkng,[removed]