发明授权
US07505876B2 Systems and methods for simultaneous summarization of data cube streams 失效
同时汇总数据立方体流的系统和方法

Systems and methods for simultaneous summarization of data cube streams
摘要:
In an exemplary embodiment, some of the main aspects of the present invention are the following: (i) Data model: We introduce tensor streams to deal with large collections of multi-aspect streams; and (ii) Algorithmic framework: We propose window-based tensor analysis (WTA) to effectively extract core patterns from tensor streams. The tensor representation is related to data cube in On-Line Analytical Processing (OLAP). However, our present invention focuses on constructing simple summaries for each window, rather than merely organizing the data to produce simple aggregates along each aspect or combination of aspects.
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