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Discovery of user-interests from range queries

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Part of the book series:Lecture Notes in Computer Science ((LNCS,volume 1460))

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Abstract

This paper proposes a new application for data mining. It is discovery of user-interests from the user queries. Since queries themselves represent users' interests in nature without knowing the query results, we can discover user-interests from the users' queries. The user-interests plays an important role in improving the quality of information servers, and database performance tuning. In this paper, we focus on range queries on a continuous attribute. We propose an effective iterative algorithm to discover the most interest range, in the sense that the range is accessed by enough users, and is covered by the users' queries largestly on the average.

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Authors and Affiliations

  1. Department of Intelligence and Computer Science, Nagoya Institute of Technology, Nagoya, Japan

    Xiaoyong Du, Zhibin Liu & Naohiro Ishii

Authors
  1. Xiaoyong Du

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  2. Zhibin Liu

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  3. Naohiro Ishii

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Editor information

Gerald Quirchmayr Erich Schweighofer Trevor J.M. Bench-Capon

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© 1998 Springer-Verlag Berlin Heidelberg

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Du, X., Liu, Z., Ishii, N. (1998). Discovery of user-interests from range queries. In: Quirchmayr, G., Schweighofer, E., Bench-Capon, T.J. (eds) Database and Expert Systems Applications. DEXA 1998. Lecture Notes in Computer Science, vol 1460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054529

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