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A cube model and cluster analysis for web access sessions
Joshua Zhexue Huang
,
Michael Ng
, Wai Ki Ching
, Joe Ng
, David Cheung
Department of Mathematics
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
11
Citations (Scopus)
Overview
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Dive into the research topics of 'A cube model and cluster analysis for web access sessions'. Together they form a unique fingerprint.
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Computer Science
Experimental Result
100%
Clustering Algorithm
100%
Clustering Method
100%
Data Mining
100%
Data Structure
100%
Web Server
100%
Data Representation
100%
Categorical Data
100%
Cluster Analysis
100%
Model Analysis
100%
Application Server
100%
Representation Method
100%
Data Mining Algorithm
100%
Log Data
100%
Keyphrases
Cluster Analysis
100%
Cube Model
100%
Web Access
100%
Electronic Commerce
66%
Navigational Pattern
66%
Web Server
33%
Algorithm Analysis
33%
Clustering Methods
33%
Clustering Analysis
33%
Data Mining Techniques
33%
Online Ratings
33%
Data Representation
33%
Transition Frequency
33%
K-modes
33%
Existing Data
33%
Clustered Categorical Data
33%
Application Server
33%
Transition Probability
33%
Frequency Matrix
33%
Representation Method
33%
Probability Matrix
33%
C1-C2
33%
Server Logs
33%
Over-representation Analysis
33%
Log Data
33%
Sequential Analysis
33%
Partitional Clustering Algorithm
33%
Markov Transition
33%
Log Mining
33%
View Time
33%
Categorical Sequences
33%
Dimension Index
33%