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Finding All Maximal Paths In Web User Sessions

Published: 11 April 2016 Publication History

Abstract

This paper introduces a new method for the session construction problem, which is the first main step of the web usage mining process. The proposed method is capable of extracting all possible maximal navigation sequences of web users. Through experiments, it is shown that when our new technique is used, it outperforms previous approaches in web usage mining applications such as next-page prediction.

References

[1]
M. A. Bayir, I. H. Toroslu, and A. Cosar. Performance comparison of pattern discovery methods on web log data. In AICCSA 2006, pages 445--451, 2006.
[2]
M. A. Bayir, I. H. Toroslu, M. Demirbas, and A. Cosar. Discovering better navigation sequences for the session construction problem. Data Knowl. Eng., 73:58--72, 2012.
[3]
J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann, 2000.
[4]
B. Liu, B. Mobasher, and O. Nasraoui. Web usage mining. In Web Data Mining, Data-Centric Systems and Applications, pages 527--603. Springer Berlin Heidelberg, 2011.
[5]
B. Mobasher. Data mining for web personalization. In The Adaptive Web, pages 90--135, 2007.

Cited By

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  • (2020)An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)10.1109/FarEastCon50210.2020.9271467(1-8)Online publication date: 6-Oct-2020

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Published In

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WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
April 2016
1094 pages
ISBN:9781450341448
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 11 April 2016

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Author Tags

  1. graph theory
  2. linked data
  3. web mining

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  • Poster

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WWW '16
Sponsor:
  • IW3C2
WWW '16: 25th International World Wide Web Conference
April 11 - 15, 2016
Québec, Montréal, Canada

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WWW '16 Companion Paper Acceptance Rate 115 of 727 submissions, 16%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2020)An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)10.1109/FarEastCon50210.2020.9271467(1-8)Online publication date: 6-Oct-2020

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