Web Access Pattern Mining – A Survey

Author(s):  
A. Rajimol ◽  
G. Raju
Author(s):  
Muhammad Zia Aftab Khan ◽  
Jihyun Park

The purpose of this paper is to develop WebSecuDMiner algorithm to discover unusual web access patterns based on analysing the potential rules hidden in web server log and user navigation history. Design/methodology/approach: WebSecuDMiner uses equivalence class transformation (ECLAT) algorithm to extract user access patterns from the web log data, which will be used to identify the user access behaviours pattern and detect unusual one. Data extracted from the web serve log and user browsing behaviour is exploited to retrieve the web access pattern that is produced by the same user. Findings: WebSecuDMiner is used to detect whether any unauthorized access have been posed and take appropriate decisions regarding the review of the original rights of suspicious user. Research limitations/implications: The present work uses the database which is extracted from web serve log file and user browsing behaviour. Although the page is viewed by the user, the visit is not recorded in the server log file, since it can be access from the browser's cache.


Author(s):  
Abu Naser ◽  
Muhammad ◽  
Nusrat Sultana ◽  
Md. Ashraful Islam ◽  
Jesan Ahammed Ovi

2008 ◽  
Vol 1 (4) ◽  
Author(s):  
C. Gomathi ◽  
M. Moorthi ◽  
K. Duraiswamy

2012 ◽  
Vol 197 ◽  
pp. 283-291
Author(s):  
Jun Dong ◽  
Yu Jie Xie ◽  
Jia Dong Ren ◽  
Wei Wei Zhou

Closed repetitive gapped sequential pattern mining has been gained more and more attention in recent years, in this paper, we propose a novel method MRCGP(mining closed repetitive gapped sequential pattern based on repetition linked WAP-Tree). In the first step of MRCGP, the given sequential database is transformed into a new database in which every item is expressed by its landmark; then a positional information table(PIT) which includes all of the position information of 1-frequent items is constructed, all of the repetitive gapped 2-sequential patterns of different items (RPDI) can be obtained through searching the positional information table; following, a repetitive linked web access pattern tree (RLWAP-Tree) is built, in RLWAP-Tree, the 1-frequent items are stored as header table, the items in header table will be linked to their same items which appear earliest in each sequence corresponding to RLWAP-Tree with solid line, all of the items in RLWAP-Tree are linked to their same items in the same sequences with broken line; through mining projection tree of the existing repetitive gapped pattern recursively, we can obtain the repetitive gapped sequential pattern; at the end, we get the closed repetitive gapped sequential pattern by checking inclusion relation of any two patterns. The experiment result shows MRCGP has better time efficiency.


2008 ◽  
Vol 1 (4) ◽  
Author(s):  
C. Gomathi ◽  
M. Moorthi ◽  
K. Duraiswamy

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