基于SMSE智能数据挖掘的智能推荐信息算法设计

Fushan Ma, Chunhui Shao
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引用次数: 0

摘要

针对传统模糊认知地图和知识地图数据挖掘效率低、预测精度低等问题,提出了一种基于智能知识地图的数据挖掘方法。利用成对变量的离散和映射,从原始数据构建散点图;定义了四重模糊关联规则,并在此基础上构建了智能知识地图;根据关联节点的数量确定集线器节点和非活动节点。本文探讨了大数据环境下科技知识服务体系的构建,包括:中小科技企业的知识服务部门、高校、科研机构和公共图书馆。融资约束会对企业的技术创新造成很大的阻碍,并会显著影响企业对政府补贴的吸收和利用。
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Design of Intelligent Recommendation Information Algorithm based SMSE Intelligent Data Mining
Aiming at the problems of low data mining efficiency and low prediction accuracy of traditional fuzzy cognitive map and knowledge map, a data mining method based on intelligent knowledge map is proposed. Using the discrete and mapping of paired variables to build a scatter graph from the original data; define a quadruple fuzzy association rule, and build an intelligent knowledge map on this basis; identify hub nodes and inactive nodes according to the number of associated nodes. This paper discusses the construction of a scientific and technological knowledge service system under the big data environment, including: knowledge service departments of small and medium-sized technological enterprises, universities, scientific research structures and public libraries. financing constraints will cause great obstacles to technological innovation of enterprises and can significantly affect enterprises’ Absorption and utilization of government subsidies.
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