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• W2398989861 abstract "Given a set of n elements and a corresponding stream of its subsets, we consider the problem of selecting k elements that should appear in at least d such subsets arriving in the near future with high probability. For this min-d-occur problem, we present an algorithm that provides a solution with the success probability of at least 1 - O (kd log n/D + 1/n), where D is a known constant. Our empirical observations on two streaming data sets show that this algorithm achieves high precision and recall values. We further present a sliding window adaptation of the proposed algorithm to provide a continuous selection of these elements. In contrast to the existing work on predicting trends based on potential increase in popularity, our work focuses on a setting with provable guarantees." @default.
• W2398989861 created "2016-06-24" @default.
• W2398989861 creator A5003900704 @default.
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• W2398989861 date "2014-07-23" @default.
• W2398989861 modified "2023-09-26" @default.
• W2398989861 title "Min- d -occur: ensuring future occurrences in streaming sets" @default.
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• W2398989861 hasPublicationYear "2014" @default.
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