Discrete Approach for Automatic Knowledge Extraction from Precedent Large-Scale Data, and Classification
نویسندگان
چکیده
The proposed method for automatic knowledge extruction from large-scale data is bused on ideas of analysis of neighborhoods of ‘supporting” objects and construction of data covers by sets of hyperpurullelepipeds. A simple procedure to choose the supporting objects is applied. Knowledge extraction (logical regularities search) is bused on solution of special discrete linear optimization tusks associated with supporting objects. Two practical tusks are considered for method illustration.
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تاریخ انتشار 2002