Research on information retrieval algorithm based on big data block and attribute matrix reasoning

Big data sets are composed of many records with various attributes. In order to extract information from big data sets, this paper researched a
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-type big data which satisfied the logical characteristics of “attribute disjunction”. Based on the inverse packet set theory, this paper put forward some new concepts of big data block, such as matrix, element of block. Using these concepts, this paper presented two structures of block reasoning, and then presented three theorems for block element, such as intelligent separation theorem, intelligent retrieval the-orem, and equivalence class theorem; Based on the separation and retrieval criteria of block element, this paper presented the separation and retrieval algorithm of block element. Finally, this paper researched the application of big data intelligent retrieval in credit default.