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Mining contiguous sequential patterns from web logs

Published: 08 May 2007 Publication History

Abstract

Finding Contiguous Sequential Patterns (CSP) is an important problem in Web usage mining. In this paper we propose a new data structure, UpDown Tree, for CSP mining. An UpDown Tree combines suffix tree and prefix tree for efficient storage of all the sequences that contain a given item. The special structure of UpDown Tree ensures efficient detection of CSPs. Experiments show that UpDown Tree improves CSP mining in terms of both time and memory usage comparing to previous approaches.

References

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Agrawal R. and Srikant R. Mining sequential patterns. In Proceedings ICDE'95 (1995). 3--14.
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Antunes C. and Oliveira A. L. Sequential pattern mining algorithms: Trade--offs between speed and memory. In 2nd Workshop on Mining Graphs, Trees and Seq. (2004).
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Morrison D.R. Practical Algorithm to Retrieve Information Coded in Alphanumeric. J. ACM, 15 (1968), 514--534.
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Nakagawa M. and Mobasher B. A Hybrid Web Personalization Model Based on Site Connectivity. In WEBKDD 2003 (2003). 59--70.

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  • (2024)Towards utility-driven contiguous sequential patterns in uncertain multi-sequencesKnowledge-Based Systems10.1016/j.knosys.2023.111314284(111314)Online publication date: Jan-2024
  • (2024)Targeted mining of contiguous sequential patternsInformation Sciences10.1016/j.ins.2023.119791653(119791)Online publication date: Jan-2024
  • (2023)Data Analytic for Healthcare Cyber Physical SystemIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.327867410:5(2490-2502)Online publication date: 1-Sep-2023
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Published In

cover image ACM Conferences
WWW '07: Proceedings of the 16th international conference on World Wide Web
May 2007
1382 pages
ISBN:9781595936547
DOI:10.1145/1242572
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2007

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Author Tags

  1. contiguous sequential pattern
  2. sequential pattern
  3. web usage mining

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  • Article

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WWW'07
Sponsor:
WWW'07: 16th International World Wide Web Conference
May 8 - 12, 2007
Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2024)Towards utility-driven contiguous sequential patterns in uncertain multi-sequencesKnowledge-Based Systems10.1016/j.knosys.2023.111314284(111314)Online publication date: Jan-2024
  • (2024)Targeted mining of contiguous sequential patternsInformation Sciences10.1016/j.ins.2023.119791653(119791)Online publication date: Jan-2024
  • (2023)Data Analytic for Healthcare Cyber Physical SystemIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.327867410:5(2490-2502)Online publication date: 1-Sep-2023
  • (2023)Towards Contiguous Sequences in Uncertain Data2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)10.1109/DSAA60987.2023.10302526(1-10)Online publication date: 9-Oct-2023
  • (2023)CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graphApplied Intelligence10.1007/s10489-023-05118-x53:24(29723-29740)Online publication date: 3-Nov-2023
  • (2022)Weighted Contiguous Sequential Pattern Mining2022 4th International Conference on Data Intelligence and Security (ICDIS)10.1109/ICDIS55630.2022.00061(358-365)Online publication date: Aug-2022
  • (2019)C3RoExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.04.058131:C(172-189)Online publication date: 1-Oct-2019
  • (2017)A fuzzy neural network based framework to discover user access patterns from web log dataAdvances in Data Analysis and Classification10.1007/s11634-015-0228-411:3(519-546)Online publication date: 1-Sep-2017
  • (2017)CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining AlgorithmMachine Learning and Data Mining in Pattern Recognition10.1007/978-3-319-62416-7_11(147-162)Online publication date: 2-Jul-2017
  • (2015)CCSpanKnowledge-Based Systems10.1016/j.knosys.2015.06.01489:C(1-13)Online publication date: 1-Nov-2015
  • Show More Cited By

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