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Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs

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Book cover Advances in Information Retrieval (ECIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5993))

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Abstract

We describe a P2P association rule mining descriptor enrichment approach that statistically significantly increases accuracy by greater than 15% over the non-enriched baseline. Unlike the state-of-the-art enrichment approach however, the proposed solution does not introduce additional network load.

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References

  1. ipoque, ipoque Internet Study (2008), http://www.ipoque.com/resources/internet_studies

  2. Jia, D., et al.: Distributed, Automatic File Description Tuning in P2P File-Sharing Systems. Peer-to-Peer Networking and Applications 1(2) (September 2008)

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  3. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2006)

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© 2010 Springer-Verlag Berlin Heidelberg

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Goharian, N., Frieder, O., Yee, W.G., Mundrawala, J. (2010). Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_65

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  • DOI: https://doi.org/10.1007/978-3-642-12275-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12274-3

  • Online ISBN: 978-3-642-12275-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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