Abstract
In the past, a number of researches have been devoted to web mining. However, only page browsing behaviors have been studied. The actions performed in the pages were omitted. To the best of our knowledge, no previous researches were able to find out page-action browsing sequences. This paper proposes an algorithm, called WebPAN, to analyze customers’ browsing pages and their action paths. The algorithm’s efficiency was examined in our prototype. This study would help website managers to restructure their website layouts or advertisement positions more correctly in electronic commerce.
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Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. of the 20th Int’l Conference on Very Large Databases (1994)
Chen, S.-S., Hsu, P.-Y., Chen, Y.-L.: Mining Web Traversal Rules with Sequences. MIS Review 9, 53–71 (1999)
Chen, M.-S., Park, J.-S., Yu, P.S.: Efficient Data Mining for Path Traversal Patterns. IEEE Trans. on Knowledge and Data Engineering 10(2), 209–221 (1998)
Cooley, R., Mobasher, B., Srivastava, J.: Web Mining: Information and Pattern Discovery on the World Wide Web. In: Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 1997 (1997)
Cooley, R., Mobasher, B., Srivastava, J.: Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns. In: Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop, KDEX 1997 (1997)
Hsieh, C.C., Chang, C.T.: An Enhanced Transaction Identification Module on Web Usage Mining. Asia Pacific Management, 241–252 (2001)
Srikant, R., Agrawal, R.: Mining Sequential Patterns: Generalizations and Performance Improvements. In: Proc. of the Fifth Int’l Conference on Extending Database Technology, EDBT (1996)
Yun, C.H., Chen, M.S.: Using Pattern-join and Purchase-Combination for Mining Transaction Patterns in an Electronic Commerce Environment. In: The 24th Annual International Conference On Computer Software and Applications, pp. 99–104 (2000)
Zhang, W., Xu, B., Song, W., Yung, H., Liu, K.: Data Mining Algorithms for Web Prefetching. In: Proceeding of the First International Conference On Web Information Systems Engineering, vol. 2, pp. 34–38 (2000)
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© 2005 Springer-Verlag Berlin Heidelberg
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Yang, HL., Lin, QF. (2005). A New Algorithm to Discover Page-Action Rules on Web. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_185
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DOI: https://doi.org/10.1007/11553939_185
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
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