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knowledge extraction中文是什么意思

  • 知识提取
  • 知识撷取 [知识题取

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  • 例句与用法
  • Since probably all data mining algorithms using rough set approach are based on the core , this revision will increase the efficiency of knowledge extraction . this paper also presents a further study on the data - mining approach with combination of rough set theory and expansion matrix theory , and uncovers the advantages and disadvantages of both
    本文还对结合扩张矩阵理论和粗糙集理论进行数据挖掘的方法作了进一步的探讨,指出了各自优缺点的根源所在,有利于充分利用两者的优势,同时尽量消除两者在处理数据中的不足,获得更为理想的数据挖掘算法。
  • This paper introduces a method of knowledge extraction , which is based on ontology . the method uses the hiberarchy of extracted information as information extraction root , and uses induction study to produce rules of information extraction , and is effectively used in extracting web information
    文中介绍了一种知识抽取的方法,它以本体论为基础,以所要提取的信息的层次结构作为信息提取的路径,利用归纳学习来半自动地生成信息提取规则,对web页面的信息提取具有较高的效率。
  • Here , to solve the difficulty of knowledge acquisition , three modified - rs - model - based methods are given for fault diagnostic knowledge extraction respectively . they also make up for the deficiency of classical rs theory . then , a framework based on variable precision rough sets theory is produced for fault diagnostic expert systems
    基于变精度粗糙集模型、概率粗糙集模型和互信息熵等理论,从不同角度给出了3种故障诊断知识提取的方法,解决了知识获取的困难,弥补了经典粗糙集理论进行知识获取的不足。
  • 更多例句:  1  2
  • 百科解释
Knowledge Extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.
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