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Web Usage Pattern Discovery Using Time Stamp Association Rules | ||
| Journal of University of Anbar for Pure Science | ||
| Article 30, Volume 4, Issue 2, 2010, Pages 99-104 PDF (346.55 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.37652/juaps.2010.15363 | ||
| Author | ||
| Nidal Ali Hussein* | ||
| University of Baghdad – College of Islamic Science | ||
| Abstract | ||
| Abstract: Association rules are typically used to describe what items are frequently bought together. One could also use them in web usage mining to describe the pages that are often visited together .The goal of web usage mining is to extract useful knowledge from the data that web servers store about the behaviour of the customers. In this paper, we introduce an extension to association rules by the introduction of time stamp that can give us a better insight into the data. Subsequently, the introduced concepts are used in an experiment to pre-process log files for web usage mining. We also describe how the method could be useful for market basket analysis and give an overview of related research. The paper is concluded by some suggestions for future research. | ||
| Keywords | ||
| web; Pattern; Discovery; Stamp; Association Rules | ||
| References | ||
|
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[7] Mobasher B., Dai H., Luo T. & Nakagawa M., 2002. Using Sequential and Non-Sequential Patterns for Predictive Web Usage Mining Tasks. In Proceedings of the IEEE International Conference on Data Mining. pp. 669-672.
[8] Srivastava J., Cooley R., Deshpande M., Tan P-N., 2000. Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. Web Data, SIGKDD Explorations, Vol. 1, Issue 2. pp. 12-23. | ||
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