원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.6
2015.06
pp.29-34
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The number of web service users is increasing with the widespread of regular PCs, smartphones, and tablet PCs, which has allowed more convenient access to internet. Although the increase in the number of users is translating into the increase in data usage, the previously used method is not suitable to process web log at high-speed, since it operates in the order of strings. Accordingly, this study uses the CST-tree index to analyze the web log data that is generated when accessing a web server.
목차
Abstract
1. Introduction
2. Related Researches
2.1. B-tree Web Log Mining
2.2. Graph Clustering Technique
2.3. Online Marketing System (ROMS)
2.4. Advertising System Using Web Log
2.5. Web Log Analysis Model
2.6. CST-Tree
3. CST-Tree Web Log Composition
3.1. Processing of Repetitive Strings
3.2. CST-Tree Composition
3.3. Web Log CST-Tree Recovery
3.4. Web Log CST-Tree Retrieval
4. Performance Evaluation
5. Discussion and Conclusion
References
1. Introduction
2. Related Researches
2.1. B-tree Web Log Mining
2.2. Graph Clustering Technique
2.3. Online Marketing System (ROMS)
2.4. Advertising System Using Web Log
2.5. Web Log Analysis Model
2.6. CST-Tree
3. CST-Tree Web Log Composition
3.1. Processing of Repetitive Strings
3.2. CST-Tree Composition
3.3. Web Log CST-Tree Recovery
3.4. Web Log CST-Tree Retrieval
4. Performance Evaluation
5. Discussion and Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보