Discovery of user-interests from range queries
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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