An Auto-Association Method for Multivariate Data
An automatic association, multi-data technology, applied in other database retrieval, other database retrieval, other database indexing and other directions based on metadata, can solve the problem of not jointly considering multiple attribute information, reducing the utility of the association of massive remote sensing data, excessive relationship, etc.
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[0025] The present invention will be described in detail below in combination with specific embodiments.
[0026] Such as figure 1 Shown, technical scheme of the present invention is as follows:
[0027] Step 1: Select multivariate data and define the basic structure of multivariate data. Multivariate data refers to different types of data with certain commonality. The basic structure of multivariate data is defined in combination with specific applications. Each data type should at least include attributes such as time, space, and labels. For example, image data includes time, space, and image attributes. Attributes such as length and width resolution, intelligence data include attributes such as time, space, and text content of intelligence;
[0028] Step 2: Extract the time attribute of each data. Extract the time attribute of each data and convert it to standard time, automatically complete the incomplete time attribute according to the context, and estimate the error r...
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