Analysis of Web Access Sequence Based on the Improved Prefix Span Algorithm
Authors
Yang Xu, Yu Wang
Corresponding Author
Yang Xu
Available Online March 2015.
- DOI
- 10.2991/iiicec-15.2015.177How to use a DOI?
- Keywords
- Data mining; Sequential pattern; PrefixSpan; IPS; Web access sequence
- Abstract
PrefixSpan is an important algorithm for sequential pattern mining algorithm, but it’s projected database cost more redundant memory and scan-time, so this paper present an improved PrefixSpan algorithm(IPS) which is based on PrefixSpan. IPS decreases the redundant memory and scan-time by abnegating the non-frequent items and projection database which sequential number is lower than minimum support. This paper applied IPS to web access sequence mining, by mining the web access records database to find frequent access sequence to provide reasonable suggestions for Web building.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Xu AU - Yu Wang PY - 2015/03 DA - 2015/03 TI - Analysis of Web Access Sequence Based on the Improved Prefix Span Algorithm BT - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference PB - Atlantis Press SP - 788 EP - 791 SN - 2352-538X UR - https://doi.org/10.2991/iiicec-15.2015.177 DO - 10.2991/iiicec-15.2015.177 ID - Xu2015/03 ER -