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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69381
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/69381


    Title: Aggregate functions over probabilistic data
    Authors: 陳良弼
    Chang,Chih-Shyang
    Chen,Arbee L.P
    Contributors: 資科系
    Date: 1996-01
    Issue Date: 2014-08-28 10:14:48 (UTC+8)
    Abstract: Various extended relational data models were proposed to handle uncertain data including possibilistic and probabilistic data. Query processing involving aggregate functions over uncertain data is rarely considered. In this paper, we define a set of extended aggregate functions over probabilistic data. The time complexity of the computations for these extended aggregate functions is, in general, exponential. We develop two efficient algorithms for the computation of the maximum and minimum aggregate functions. The worst-case time complexity of the algorithms are O(n2). These algorithms can be extended to handle the possibilistic data. That is, our work is devoted to the accommodation of uncertain data in database systems with an elaboration on speeding up the processing efficiency of the aggregate functions.
    Relation: Information Sciences,88(1-4),15-45
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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