数据智能分类与分类智能检索-识别

基于具有动态特征的P-集合模型,针对∧型大数据,定义新概念α^F-数据等价类、α^(-overF)-数据等价类和(α^F,α^(-overF))-数据等价类,分析数据边界特征与度量,提出数据推理及推理结构。论文的主要结果是针对数据元的冗余与缺失定义数据边界收缩与扩张的度量,分析数据推理得到数据分类生成定理,设计数据智能检索算法与数据智能检索-识别准则,给出应用。

Intelligent data classification and intelligent retrieval-recognition of class

Based on the P-set models with dynamic characteristics, and for the research of ∧ type big data, several new concepts such as α^F-data equivalence class, α^(-overF)-data equivalence class and (α^F,α^(-overF))-data equivalence class are defined, the data boundary characteristics and measurement are analyzed, and data reasoning and its structure are proposed. The main points of this paper are to define the measurement of data boundary contraction and expansion for data element redundancy and missing, analysis data reasoning to obtain the generation theorems of data equivalence class, design data intelligent retrieval algorithm and data intelligent retrieval and recognition criteria, and finally give the application.