Abstract
Web log mining is one of web mining. The process of the Web log mining is introduced. This paper proposes the WFPM algorithm which is improved according to FP-Growth and uses it to mine the weblogs. The new algorithm can find the weighted frequent patterns between pages in the webs, and then helps web managers or companies to improve the web designs or business decisions. The experiments show that in the process of using WFPM algorithm is more efficient in time and space.
This work is partially supported by Henan Science and Technology Development Plan Project #092300410040.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zou, L., Xue, H. (2011). Research of Weighted Frequent Patterns Algorithm Based on Web-Log Mining. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_32
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DOI: https://doi.org/10.1007/978-3-642-23214-5_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23213-8
Online ISBN: 978-3-642-23214-5
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