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Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks

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Advances in Knowledge Discovery and Data Mining (PAKDD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3518))

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Abstract

We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and propose the interval-list representation. Based on Lossy Counting, we propose ILB, an interval-list-based online mining algorithm for discovering frequent sensor value sets. Through extensive experiments, we compare the performance of ILB against an application of Lossy Counting (LC) using a weighted transformation method. Results show that ILB outperforms LC significantly for large sensor networks.

This research is supported by Hong Kong Research Grants Council grant HKU 7040/02E.

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References

  1. Carney, D., et al.: Monitoring streams - a new class of data management applications. In: VLDB, pp. 215–226 (2002)

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  2. Loo, K.K., Tong, I., Kao, B., Cheung, D.: Online algorithms for mining inter-stream associations from large sensor networks. Technical Report TR-2005-02, Dept. of Computer Science, The University of Hong Kong (2005)

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  3. Madden, S., Franklin, M.J.: Fjording the stream: An architecture for queries over streaming sensor data. In: ICDE, pp. 555–566 (2002)

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  4. Manku, G.S., Motwani, R.: Approximate frequency counts over data streams. In: VLDB, pp. 346–357 (2002)

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Hong Kong, Hong Kong

    K. K. Loo, Ivy Tong & Ben Kao

Authors
  1. K. K. Loo
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  2. Ivy Tong
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  3. Ben Kao
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Editor information

Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Asahidai 1-1, 923-12292, Nomi, Japan

    Tu Bao Ho

  2. University of Hong Kong, Pokfulam Road, Hong Kong, China

    David Cheung

  3. Department of Computer Science and Engineering, Arizona State University, Tempe, Arizona, USA

    Huan Liu

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© 2005 Springer-Verlag Berlin Heidelberg

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Loo, K.K., Tong, I., Kao, B. (2005). Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks. In: Ho, T.B., Cheung, D., Liu, H. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2005. Lecture Notes in Computer Science(), vol 3518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11430919_18

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  • DOI: https://doi.org/10.1007/11430919_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26076-9

  • Online ISBN: 978-3-540-31935-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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