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A New Mechanism of Mining Network Behavior

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Advances in Knowledge Discovery and Data Mining (PAKDD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2336))

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Abstract

In this work, a new mechanism, which consists of Preprocessing Phase, Two-Layer Pattern Discovering Phase (2LPD), and Pattern Explanation Phase, is proposed to discover unknown patterns. Two heuristics are proposed to detect outlier users in 2LPD Phase. Next, we are also concerned about subsequences of user’s behaviors in this phase. As the patterns which are previously unknown have been discovered in 2LPD Phase, they will be incrementally feedbacked to knowledge base for further detection. Through this incremental learning mechanism, the known patterns can be increased.

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References

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C.

    Shun-Chieh Lin, Shian-Shyong Tseng & Yao-Tsung Lin

Authors
  1. Shun-Chieh Lin
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  2. Shian-Shyong Tseng
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  3. Yao-Tsung Lin
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Editor information

Editors and Affiliations

  1. EE Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan, ROC

    Ming-Syan Chen

  2. IBM Thomas J. Watson Research Center, 30 Sawmill River Road, Hawthorne, NY, 10532, USA

    Philip S. Yu

  3. School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore, 119260

    Bing Liu

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lin, SC., Tseng, SS., Lin, YT. (2002). A New Mechanism of Mining Network Behavior. In: Chen, MS., Yu, P.S., Liu, B. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2002. Lecture Notes in Computer Science(), vol 2336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47887-6_21

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  • DOI: https://doi.org/10.1007/3-540-47887-6_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43704-8

  • Online ISBN: 978-3-540-47887-4

  • eBook Packages: Springer Book Archive

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