Abstract
With the rapid growing number of WWW users, hidden information becomes ever increasingly valuable. As a consequence of this phenomenon, mining Web data and analysing on-line users' behaviour and their on-line traversal pattern have emerged as a new area of research. Primarily based on the Web servers' log files, the main objective of traversal pattern mining is to discover the frequent patterns in users' browsing paths and behaviours. This paper presents a complete framework for web mining, allowing users to pre-define physical constraints when analysing complex traversal patterns in order to improve the efficiency of algorithms and offer flexibility in producing the results.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics|Proc IEEE Int Conf Syst Man Cybern |
| Publisher | IEEE Computer Society |
| Pages | 868-873 |
| Number of pages | 5 |
| Volume | 1 |
| Publication status | Published - 2003 |
| Event | System Security and Assurance - Washington, DC Duration: 1 Jul 2003 → … |
Conference
| Conference | System Security and Assurance |
|---|---|
| City | Washington, DC |
| Period | 1/07/03 → … |
Keywords
- Data management
- Data mining
- Data pre-processing
- Information filtering
- Web mining