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Learning Sequent Patterns Discovery Scheme on Line

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Network Computing and Information Security (NCIS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 345))

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Abstract

How to establish an assistant learning environment on Internet has already been gained a great attention. The paper presents the learning sequent patterns discovery scheme. It is an effective web mining technique directing at huge data in learning sequence database, which can find out the relationship among these data actively and summarize the browsing pattern of every learner. The learning sequence patterns can help teachers to find out the relationship of each learning unit or the learning path most learners browse frequently in order to improve the structure of courses on Internet and learning efficient. From the experiments, it is obvious that the method is better than the others under the condition of same environment.

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References

  1. Lee, C.-I., Ku, H.-K.: A Study of Personal Assistant Retrieval System for Elementary Student. In: The Sixth International Conference on Computers in Education, Beijing, China, October 14-17, pp. 628–633 (1998)

    Google Scholar 

  2. Yan, T.W., Jacobesn, M., Hector, G.-M., Dayal, U.: From User Access Patterns to Dynamic Hypertext Linking. In: 5th International World Wide Web Conference (1996)

    Google Scholar 

  3. Agrawal, R., Srikant, R.: Mining Sequence Patterns. In: Proceedings of the 11th International Conference on Data Engineering, March 6-10, pp. 3–10 (1995)

    Google Scholar 

  4. Agrawal, R., Srikant, R.: Mining Sequential Patterns: Generalizations and Performance Improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 3–17. Springer, Heidelberg (1996)

    Google Scholar 

  5. Chen, M.-S., Park, J.-S., Yu, P.S.: Data Mining for Path Traversal Patterns in a Web Environment. In: Proceedings of the 16th International Conference on Distributed Computing Systems, May 27-30, pp. 385–392 (1996)

    Google Scholar 

  6. Chen, M.-S., Park, J.-S., Yu, P.S.: Efficient Data Mining for Path Traversal Patterns. IEEE Transactions on Knowledge and Data Engineering 10(2), 209–221 (1998)

    Article  Google Scholar 

  7. Yen, S.-J., Chen, A.L.P.: An Efficient Approach to Discovering Knowledge from Large Database. In: PDIS, December 18-20, pp. 8–18 (1996)

    Google Scholar 

  8. Zaki, M.J.: Efficient Enumeration of Frequent Sequences. In: CIKM, pp. 68–75 (1998)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhu, C., Chen, L., Zhou, X., Zheng, Y. (2012). Learning Sequent Patterns Discovery Scheme on Line. In: Lei, J., Wang, F.L., Li, M., Luo, Y. (eds) Network Computing and Information Security. NCIS 2012. Communications in Computer and Information Science, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35211-9_38

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  • DOI: https://doi.org/10.1007/978-3-642-35211-9_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35210-2

  • Online ISBN: 978-3-642-35211-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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