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Preliminary systemic decomposition of big data for their classification using vector criteria dynamic management model of innovations generations

机译:使用创新世代的矢量标准动态管理模型对大数据进行分类的初步系统分解

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Data mining technology (data mining, “requested information”) - the process of identifying hidden patterns found in the raw data previously unknown knowledge. One of the objectives Data mining is a classification - detecting certain traits in objects (events), make it possible assign them to one or the other previously known class. When working with big data analysis result obtained in the process of purification by sequential simulation. This process requires that researchers develop adaptive algorithms “machine learning” that can get the desired result. Moreover, the lifetime of such an algorithm can be quite short.
机译:数据挖掘技术(数据挖掘,“请求的信息”)-识别原始数据中以前未知知识中发现的隐藏模式的过程。数据挖掘的目标之一是分类-检测对象(事件)中的某些特征,使其有可能被分配给一个或另一个先前已知的类。当处理大数据时,通过顺序仿真在纯化过程中获得的分析结果。这个过程要求研究人员开发自适应算法“机器学习”,以获得所需的结果。而且,这种算法的寿命可能很短。

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